Submission of the Full 5-Minute Video: October 10 2020. 2020: One paper has been accepted to ACL 2020. AISTATS 2020 Accepted Papers. 8 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2020. Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, and Michael Brueckner. Volumes are published online on the PMLR web site. Other similar studies in 2020 can be found in [30–32]. Two journal papers accepted in 2017 (MLJ and JMLR). Quantifying the Accuracy of Approximate Di usions and Markov Chains. Our paper on learning of higher-order statistics for image encoding (Mousavi, Drefs, Lücke, 2020) has been accepted by the International Conference on Machine Learning, Optimization, and Data Science. The 2020 conference will be held from May 31 to June 4, 2020 at the Palais des Congrès de Paris in Paris, France. Goldfarb, A. Voluntary artifact evaluation is applied. “Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Ball” 12/2019 Attending NeurIPS 2019 to present our following papers: Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S Dhillon, Alexandros. Visit the post for more. All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth here. 891), 27/8/2017 Our paper on gene essentiality prediction has been accepted to Cell Systems (IF in 2016 = 8. January 31, 2020. In addition, we will use a chat system in which participants can ask questions in written form to the keynote speakers and to authors. By DAVIDE BACCIU Posted on July 27, 2020 Posted in deep learning, news, papers, research, Students Couldn’t think of a better venue for my 99th research paper than the Journal of Machine Learning Research. [6/2020] Population-Based Bandit Optimization will be presented as a Contributed Talk at the ICML AutoML workshop. February 2020: Invited talk on “Communication-Efficient Federated Learning with Periodic Averaging and Quantization” at ITA 2020. Abstract: A feature-based model explanation denotes how much each input feature contributes to a model's output for a given data point. 2018/05/12: 2 papers accepted to ICML'18. 5 released 2020-07-27 Feedback. 3, 2020] New paper “Distributionally Robust Bayesian Optimization” is now available on arXiv. As the number of proposed. January 2020 arXiv: arXiv:2001. Final pdf to come soon. slides; January, 2020 Our paper, Deep Structured Mixtures of Gaussian Processes, with Martin Trapp, Robert Peharz, Franz Pernkopf, and Carl Rasmussen has been accepted at AISTATS. We will organize AISTATS 2020 in Palermo!! → News. Submit full paper (Regular Attendance+Paper Publication+Presentation) You are welcome to submit full paper, all the accepted papers will be published by Open access journal. Proceedings track: This is the standard AISTATS paper submission track. Following my previous posts on AISTATS paper counts broken down by institution and ICASSP paper counts broken down by company, below are the numbers for accepted ICLR main conference papers among the top companies. Kontschieder, M. 19 -- As of today, our family are Canadian residents! We're excited about the adventures ahead of us in Toronto. This paper has been accepted as an oral presentation by AISTATS 2018 with 4. May 2020: Two papers accepted to EC'20, "Driver Surge Pricing" and "Designing Informative Rating Systems: Evidence from an Online Labor Market. The conference will convene an international community of researchers and practitioners from universities, government, and industry to exchange recent findings on the design and use of. January 31, 2020. [May 2019] Two papers were accepted to IJCAI 2019. Ten papers were accepted at AISTATS 2020. Model-Agnostic Counterfactual Explanations for Consequential Decisions Proceedings of the 23rd International Conference on Artificial. Jakub Tomczak @TomczakWeglarz, @jmtomczak, @TalmaMicha, @StanleyBrul are extremely happy to share our recent paper on ebselen as a highly active inhibitor of PLProCoV2 from #COVID19. The primary aim of this paper is to measure the performance of a clustering model to predict cluster labels for new data points, given that the model is already constructed from the training data. 2019: Two papers (one with Google Brain) have been accepted to ICLR 2020. 24 June 2020. 30/09/19 Our manuscript on "Markov information bottleneck" has been accepted to Entropy journal. 1 One paper got accepted to AISTATS 2020! Congratulations Tae Eon Park ! 20. LeJeune, G. 20 May 2020 We have received top-up funding for the processing of SARS-CoV-2 EM microscopy images within our BMBF project SPAplus. However, this is only an incomplete snapshot of their work. It always depends on overall how many papers are submitted and their relative evaluation. Narayanan, K. David Luengo, Luca Martino, Monica Bugallo, Victor Elvira, and Simo Särkkä. 2 UAI 2020 Accepted Papers! Jul 8, 2020. February, 2020 I presented a Tutorial on Probabilistic Circuits at AAAI’20, together with Antonio Vergari, YooJung Choi, and Guy Van den Broeck. Established for a five-year period with the help of the Fondation Mines-Télécom and the support of Airbus Defence & Space, Engie, Idemia, Safran and Valeo, it is held by Florence d'Alché-Buc, Full […]. [2019/12] Jinwoo Shin received KAIST Technology Innovation Award of College of Engineering 2019. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. aistats, 2018. 2 papers co-authored by the OxCSML group members have been accepted to the main program of UAI 2020. New paper accepted in MED 2020: "Unsupervised Learning for Subterranean Junction Recognition Based on 2D Point Cloud" in collaboration with Luleå University of Technology and Caltech. 01/2020, Our paper is accepted to AISTATS. ALT 2020 The 31st International Conference on Algorithmic Learning Theory Co-located with ITA 2020. Three papers on semantics of rule-based data repair, causal relational learning, and computation of local sensitivity accepted to SIGMOD 2020! Congrats Amir, Harsh, Yuchao, and all collaborators! Causal inference for networks paper accepted to AISTATS 2020!. New paper on Adversarial Examples for kNN and Random Forests. July 8, 2020. SI 671/721 Data Mining: Methods and Applications @ Fall 2019 [75 students], Fall 2020. Reisizadeh, R. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8. One has been selected for spotlight presentation (there are 168 spotlights among 1011 acceptance out of 4856 submissions). Three hierarchical layers are designed and represented across the 10 subjects with 100, 50 and 25 networks, respectively. In this paper we consider the fair-coin game, which is the simplest game in the game-theoretic probability. Solicited topics include, but are not limited to: Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and. Donders Centre for Neuroscience. 2018/12/21: 1 paper accepted to ICLR'19. 11/10/2019 Our work on Options of Interest: Temporal Abstraction with Interest Functions has been accepted at AAAI, 2020. Three hierarchical layers are designed and represented across the 10 subjects with 100, 50 and 25 networks, respectively. , Al-Ruzouq, R. The key contribution is a control-theoretic regularizer for dynamics fit. This talk is based on a paper accepted to NeurIPS 2019. ACM Conference on Knowledge Discovery and Data Mining (KDD), pages 1799-1808, 2014. Han, Jing Pan, Venkata Krishna Naveen Tadala, Tao Ma, Dan Povey, Interspeech 2020 (Submitted). Due to the black-box nature of VAEs, their utility for healthcare and genomics applications has been limited. BrAIN; DirtyData; fast-big; HiDimStat; Individual brain Charting; INSERM-INRIA 2018; Karaib; Large Small Brain Nets; meegBIDS; MetaMRI; MissingBigData. Ten papers were accepted at AISTATS 2020. The Thirty-Fifth AAAI Conference on Artificial Intelligence will be held virtually February 2-9, 2021. In literature usually only one single asymmetric (Alpha, Beta or Gamma) divergence is considered. Due to a large number of integrated advanced driver assistance systems (ADAS) the driver nowadays can hand over the driving task to the vehicle in specific, monotone driving scenarios. August 2020. Papers must be formatted in AAAI two-column, camera-ready style; see the 2020 author kit for details (available July 2019). The type of inference can vary, including for instance inductive learning (estimation of models such as functional dependencies that generalize to novel data sampled from the same underlying distribution). He is an associate editor-in-chief for IEEE Trans. 5″ x 11″) paper, using Type 1 or TrueType fonts. Authors will then have the opportunity to briefly revise their papers to take account of feedback received at the conference, and must submit their final camera. Zhou*, Conditional Gradient Methods for Convex Optimization with Function Constraints, submitted for publication, July 2020. Ming!Shang!(Bit)*;!Heyan!Huang!(Beijing!Engineering!Research!Center!of!High!Volume!Language!Information Processing!and!Cloud!Computing!Applications,!Department!of. 19 demo submissions --> 7 accepted. out the paper that 1pzq“ pzqz for all the activa-tion functions, which includes ReLU pzq“maxt0,zu, “leaky” ReLU pzq“maxt↵z,zu, and linear activa-tions as special cases. Table Extraction from WebPages (PowerQuery) Voted top 5 out of 150 new features in Power Query in 2018. Head over to my publications page to take a glimpse! 2020. Baidu Scholarship, 2017. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. We will inform you in the end of July, 2020 whether the conference will be held on Sept. All previous studies have applied machine learning and deep learning techniques to make AI-based model for terrorism. By DAVIDE BACCIU Posted on July 27, 2020 Posted in deep learning, news, papers, research, Students Couldn’t think of a better venue for my 99th research paper than the Journal of Machine Learning Research. PLoS ONE, 2016. November 2020. Recent works on publicly available pharmaceutical data showed that AI methods are highly promising for Drug Target prediction. 24-01-20 The paper "Kernel computations from large-scale random features obtained by Optical Processing Units" has been accepted at ICASSP 2020! 07-01-20 The paper "LIBRE: Learning Interpretable Boolean Rule Ensembles" has been accepted at AISTATS 2020! 21-10-19 The paper "A comparative evaluation of novelty detection algorithms for discrete. [2019/12] 2 Papers were. Authors will submit PDF preprints of accepted papers (“near camera-ready”) for inclusion in the electronic materials made available to conference attendees by December 15, 2020. Proceedings of the 4th Conference on Geometric Science of Information (Best Paper Award) (2019). 7/2020, one paper on face recognition with label noise has been accepted by ECCV. This work was presented at the 2019 Information Theory Workshop (ITW'19). Proceedings track: This is the standard AISTATS paper submission track. of Electrical Engineering, Columbia University, in 2015, and his B. This paper aims to overcome these limitations by introducing a multi-faceted model of CSK statements and methods for joint reasoning over sets of inter-related. Three papers in ICML 2020. 30/09/19 Our manuscript on "Markov information bottleneck" has been accepted to Entropy journal. 6/2020, papers on label-noise learning, transfer learning, and adversarial learning have been accepted by ICML. AISTATS, 2020 extended arxiv version. holds the Burroughs Wellcome Fund Career Award at the Scientific Interface. Baraniuk, "Thresholding Graph Bandits with GrAPL," AISTATS, 2020. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(3):726-739, 2018. Submitted, 2020. Google Scholar. Being able to map an environment and later localize within it unlocks a multitude of applications, that include autonomous driving, rescue robotics, service robotics, warehouse automation, or automated goods delivery, to name a few. Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning In ICML, 2020. See the complete profile on LinkedIn and discover Lesley (Ellie)’s connections and jobs at similar companies. of the 19th International Conference on Arti cial Intelligence and Statistics (AISTATS). Below is one snapshot to celebrate, a list of publications involving graduate students over the past year. Mengdi Wang. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. January 2020: Paper "Analysis of a Two-Layer Neural Network via Displacement Convexity" accepted in Annals of Statistics. Proceedings track: This is the standard AISTATS paper submission track. Akram, Kevin Dhaliwal, Christopher K. In this paper, we provide the first theoretical analysis of LIME. [2]Eric Landgrebe, Yuxuan Zhao, and Madeleine Udell. 2019 [2019/12] Kimin Lee successfully defended his PhD thesis. volume 35, issue 18, pages 3294-3302, 2019. Cevher, “Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices. In addition, we will use a chat system in which participants can ask questions in written form to the keynote speakers and to authors. The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8. This article discusses the spectrum of “statistical” and “machine learning” (ML) methods, and the boundaries and intersections between them in the context of forecasting. However, there is no existing venue for longer (10-25 page) papers, that may require detailed reviews by experts from multiple fields. The paper "Priors for random count matrices derived from a family of negative binomial processes" is accepted for publication in Journal of the American Statistical Association. Furthermore, VCIP 2020 considers the submission of one-page demo papers with a description of proposed working systems. Email me: b. Aaai 2020 accepted papers list. Our paper on factor analysis with graph has been accepted to AISTATS 2018. For the list of future speakers, see Upcoming schedule. Huggins, T. Manifold Gradient Descent Solves Multi-channel Sparse Blind Deconvolution Provably and Efficiently. 2019] One paper was accepted to ICML 2019, one paper was accepted to KDD 2019, and. Final pdf to come soon. 2019] Paper with Zhiwei, Stephen, Kannan and Philip accepted to SDM 2020. 2015 Two papers accepted in ICCV 2015. Body Armor jobs in San Diego. We need an algorithm that not only models the anomaly degree of individual data source but also the combination of changes in multiple data sources. January 31, 2020. Then the six loser following online portfolio strategies are applied for each group and the whole portfolio. 3 papers accepted at ICML 2020 ! All three are about bandits with delayed feedback. (02/2019) Serving as reviewer for NIPS 2018, AISTATS 2019, and NeurIPS 2019. Proceedings track: This is the standard AISTATS paper submission track. Final result: Accepted! Reading these comments, I feel that I've been quite lucky in getting through this time. Paper: AdaDelay: Delay Adaptive Distributed Stochastic Optimization (with Adams Wei Yu, Mu Li, Alexander Smola) Accepted to Artificial Intelligence and Statistics 2016 (AISTATS'16) Dec 22 Paper: Efficient Sampling for K-Determinantal Point Processes (with Chengtao Li, Stefanie Jegelka) Accepted to Artificial Intelligence and Statistics 2016. A paper on influence-function-based data poisoning attacks to recommender systems has been accepted by ACM WWW 2020 (acceptance rate: 25%). In AISTATS 2018, Playa Blanca, Spain. students to join my research group. Huggins? & J. Variational Autoencoders (VAEs) have become a popular approach for dimensionality reduction. 5 AISTATS 2020 Accepted Papers! Jul 7, 2020. 2% acceptance rate. Nan Ding, Rongjing Xiang, Ian Molloy, Ninghui Li, et al. 8 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2020. The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Kevin got 2 papers. Zou? (2017). 2020 "Multistream CNN for robust acoustic modeling", Kyu J. The generous support of our sponsors allowed us to reduce our ticket price by about 50%, and support diverisy at the meeting with travel awards. 2,020 open jobs. Papers will be selected via a rigorous double-blind peer-review process. ©2020 The 23rd International Conference on Artificial Intelligence and Statistic (AISTATS 2020). Solicited topics include, but are not limited to:. However, in our recently accepted NIPS 2014 paper “Divide-and-Conquer Learning by Anchoring a Conical Hull“, we reduce lots of fundamental machine learning problems (a broad class of latent variable models, matrix factorization, clustering, etc. Link to arxiv version, final pdf. UMD-CS Teaching Award Fall 2018 and. In video style transfer, optical flow is widely adopted to boost the transfer stability, but its high computational complexity has been criticized for a long term. 2018/12/21: 1 paper accepted to ICLR'19. NEW! Area chair of ICML 2020. Online mixed missing value imputation using gaussian copula. Ijcai 2020 Ijcai 2020. Not as bleak an outlook as I would have expected, but still pretty terrible. Debarghya Ghoshdastidar, Michael Perrot, Ulrike von Luxburg: Foundations of Comparison-Based Hierarchical Clustering. 26 Feb 2020 I wrote a blog that covers our recent papers on data valuation. Proceedings of Machine Learning Research on 16-18 April 2019 Published as Volume 89 by the Proceedings of Machine Learning Research on 11 April 2019. Latest News. A collaboration of @UvA_Amsterdam ( @SILS_UvA ), @VUamsterdam ( @CIGroupVU ) @PWr_Wroclaw. We propose a framework that learns the graph structure underlying a set of smooth signals. NeurIPS, 2019. Jun 23, 2020: One paper was accepted by MICCAI2020! Jun 12, 2020: Our preprint "Similarity-based Classification: Connecting Similarity Learning to Binary Classification" has been published. I received my PhD from the Department of Electrical Engineering, Columbia University, under the advising of Gil Zussman and Cliff Stein. 15 workshop submissions --> 7 accepted. Proceedings track: This is the standard AISTATS paper submission track. available The National Biomechanics Day, set for April 8, 2020 is CANCELLED. Nishant Mehta AssistantProfessor DepartmentofComputerScience UniversityofVictoria H +1(678)8255678 B [email protected] Raphael got 1 paper accepted at ICML. All news» [07/01/20] Our paper Screening Data Points in Empirical Risk Minimization was accepted to AISTATS 2020. , Kalantar, B. Majzoubi, A. Accepted for International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. 2019: We got funded by Yahoo Research. The two-stage. Sketched MinDist. Sisson) “Variance Reduction Properties of the Reparameterization Trick” has been accepted for poster presentation and for publication in the conference proceedings of t he 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Scalable Spatial Scan Statistics for Trajectories. Due to the black-box nature of VAEs, their utility for healthcare and genomics applications has been limited. 2020-01-12: One manuscript with Prof. Closes: 12 August, 2020. From my own (professional) perspective, I can describe it in two ways: The year of. Being able to map an environment and later localize within it unlocks a multitude of applications, that include autonomous driving, rescue robotics, service robotics, warehouse automation, or automated goods delivery, to name a few. [March 2020] Our journal paper “Inference with Deep Generative Priors in High Dimensions” was accepted at the IEEE Journal on Special topics in Information Theory. Two papers were presented at WACV 2020. The primary aim of this paper is to measure the performance of a clustering model to predict cluster labels for new data points, given that the model is already constructed from the training data. peer reviewed paper. New paper accepted in CVIU! Two Papers accepted at ICIAP 2019; We will organize AISTATS 2020 in Palermo!! Research. In addition, we will use a chat system in which participants can ask questions in written form to the keynote speakers and to authors. I gave a talk at Wayfair. Linearly Convergent Frank-Wolfe without Line-Search Fabian Pedregosa (Google)*; Geoffrey Negiar (UC Berkeley); Armin Askari (UC Berkeley); Martin Jaggi (EPFL). 2 UAI 2020 Accepted Papers! Jul 8, 2020. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm. Weller, Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models, in the. Romeijn and Z. 15: Talk @ RIKEN AIP workshop. I am an Assistant Professor in CS department at UW-Madison. I will serve as an Associate Editor for Sequential Analysis, 2020-2022. Longyun got 1 paper accepted at ISIT. Insu Han, Haim Avron and Jinwoo Shin International Conference on Machine Learning (ICML) 2020 [C68] Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning (site, code). Chan, "Robust Coreset Construction for Distributed Machine Learning," accepted in IEEE Journal on Selected Areas in Communications, Jun. Countdowns to top CV/NLP/ML/Robotics/AI conference deadlines. , Beaumont, M. Our paper on Automatic Triage of 12‐Lead ECGs Using Deep Convolutional Neural Networks is accepted in JAHA 2020. Each volume is separately titled and associated with a particular workshop or conference. New dates: Special Topic Workshops Meeting has been rescheduled for November 9-10, 2020. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), June 2020 (conference) Accepted arXiv [BibTex] Share Karimi, A. View Lesley (Ellie) Danville’s profile on LinkedIn, the world's largest professional community. 1 paper is accepted to ICRA 2020; 2 papers are accepted to NeurIPS 2019; I am co-organizing NeurIPS 2019 Workshop on Graph Representation Learning; 1 paper is accepted to CoRL 2019; 1 paper is accepted to ICCV 2019; Our work receives Best Paper Award in ICML 2019 Workshop on Tractable Probabilistic Modeling. Other tracks will be announced later. The key contribution is a control-theoretic regularizer for dynamics fit. Gupta and N. Three papers in NeurIPS 2019. Kevin got 1 paper, Adarsh got 1 paper, Abi got 1 paper accepted at NeurIPS. by Pengzhou Wu and Kenji Fukumizu, has been accepted in AISTATS 2020 arXiv version Smoothness and Stability in GANs by Casey Chu, Kentaro Minami, Kenji Fukumiz, uhas been accepted in ICLR 2020 paper. Zou? (2017). 5 AISTATS 2020 Accepted Papers! Jul 7, 2020. Proceedings track: This is the standard AISTATS paper submission track. Accepted to ITCS 2020. NVIDIA Pioneering Research Award, 2017. SI 671/721 Data Mining: Methods and Applications @ Fall 2019 [75 students], Fall 2020. The FLINS/ISKE2020 will be first postponed to September 30-October 3, 2020, also in Cologne, Germany. Mike Hughes and several external colleagues have a paper Regional Tree Regularization for Interpretability in Deep Neural Networks. Liping Liu, students Gabriel Appleby and Linfeng Liu, and Prof. [06/20] I'm selected as one of the MIT Technology Review list of 35 Innovators Under 35, 2020. Invited to give a talk at DeepMind ; 2 papers accepted in ICLR 2020; Teaching CS 536: Machine Learning in Spring 2020; 3 papers accepted in NeurIPS 2019 including one spotlight paper Publications / Google Scholar 2020. Spectral Learning for Supervised Topic Models. 24 June 2020. Accepted to AISTATS 2020. The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) paper Stochasticity in Neural ODEs: An Empirical Study by Victor Oganesyan, Alexandra Volokhova, Dmitry Vetrov. News Phylogenies, mathematical and computational approaches - CANCELLED: March 19, 2020: a meeting on this theme is organized in Marne-la-Vallée. "Contextual bandits under delayed feedback. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science. “For anyone that has futilely struggled expanding their way through the DOM of a web page in Query Editor, “Web by Example” is the best thing since sliced virtual network architectures over 5G. * AI Magazine, Vol 38, No 3, 2017 * presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY Access Model/Code and Paper. Visit the post for more. I am an Assistant Professor in CS department at UW-Madison. Announcements. Papers will be selected via a rigorous double-blind peer-review process. 5-Minute Video Clip Contest. 2019] Paper with An, Shuo, Wang-Cheng and Julian accepted to CIKM 2019. We show in this paper that there exist families of such divergences with the same consistent properties. 2019: I will serve as a reviewer for AISTATS 2020 Aug. Head over to my publications page to take a glimpse! 2020. 04/2020: 1 paper accepted by TPAMI on heterogeneous few-shot model reuse. To maximise the value of your Registration for ECCV 2020 the content will be accessible on demand over the 12 months following the conference so you can enjoy the conference at your own pace. ALT 2019 Best Paper Award: Andrew Cotter, Heinrich Jiang and Karthik Sridharan, for the paper titled Two-Player Games for Efficient Non-Convex Constrained Optimization. Proceedings track: This is the standard AISTATS paper submission track. All in now, but there will b…. However, most networks are incomplete, and missing connections can negatively affect scientific analyses. Intel has invited Michigan Tech students and faculty to join a 4-hour online workshop on Monday, March 2, 2020, at 11:00 a. Working paper on arXiv, 2016. accepted for Management Science, December 12, 2019 arxiv version. Feb 2020: New paper on adaptive temporal-difference learning and [Python code]: Adaptive Temporal Difference Learning with Linear Function Approximation. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Our paper on learning of higher-order statistics for image encoding (Mousavi, Drefs, Lücke, 2020) has been accepted by the International Conference on Machine Learning, Optimization, and Data Science. arXiv:1811. 01/2020 Our paper is accepted to AISTATS 2020: Jiacheng Zhuo, Qi Lei, Alexandros G. water resource 2020: 2 wts 2012: 2 aistats 2012 deadline: 1 cache:obitdb5btlgj: 1 list of accepted papers of bai2011: 1. Choromanska, LdSM: Logarithm-depth Streaming Multi-label Decision Trees, in the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 pdf Y. Hasheminezhad, Q. We will organize AISTATS 2020 in Palermo!! → News. Solicited topics include, but are not limited to:. Hughes, and Finale Doshi-Velez Final version coming soon, for now see our previous workshop paper from RLPO 2018, which this newer paper builds on. 5 AISTATS 2020 Accepted Papers! Jul 7, 2020. Lafferty}, booktitle={NIPS}, year={2015} }. I am AC for NeurIPS 2020 and EMNLP 2020. 20, 2019] I have been awarded the ETH Postdoctoral Fellowship (ETH Fellows) for my project: “Robust Sample-Efficient Learning when Data is Costly”. Baraniuk, "The Implicit Regularization of Ordinary Least Squares Ensembles," AISTATS, 2020D. The paper asserts that this algorithm outperforms the standard MTFS method in both time complexity and memory cost. Today we received the final decisions for our papers submitted to the AISTATS conference (https://www. All news» [07/01/20] Our paper Screening Data Points in Empirical Risk Minimization was accepted to AISTATS 2020. Paper submission deadline : Friday, September 28, 2018, 4:59PM EST. Applied Data Science Best Paper Temporal-Contextual Recommendation in Real-Time by Yifei Ma, Murali Balakrishnan Narayanaswamy, Haibin Lin and Hao Ding from Amazon. Simons-Berkeley fellowship in DL Foundations. Jakub Tomczak @TomczakWeglarz, @jmtomczak, @TalmaMicha, @StanleyBrul are extremely happy to share our recent paper on ebselen as a highly active inhibitor of PLProCoV2 from #COVID19. Damien Garreau, Ulrike von Luxburg: Explaining the Explainer: A First Theoretical Analysis of LIME. peer reviewed paper. NeurIPS, 2019. 2019: one paper accepted at DAI 2019 Aug. Invited to give a talk at DeepMind ; 2 papers accepted in ICLR 2020; Teaching CS 536: Machine Learning in Spring 2020; 3 papers accepted in NeurIPS 2019 including one spotlight paper Publications / Google Scholar 2020. 2018/05/12: 2 papers accepted to ICML'18. Govind has 3 jobs listed on their profile. Chaudhuri and M. Narayanan, K. 6, 2020 - Andrew's paper entitled "Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning" is accepted to AISTATS. November 2020. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2020. Authors can submit their papers electronically via the submission page which will be opened a few weeks before the conference submission deadline. 2017/09/16: 1 paper accepted to. 02/2020: 1 arXiv paper on meta-learning. In addition, we will use a chat system in which participants can ask questions in written form to the keynote speakers and to authors. Table Extraction from WebPages (PowerQuery) Voted top 5 out of 150 new features in Power Query in 2018. Our paper The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks is accepted by CVPR 2020. 8 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2020. The type of inference can vary, including for instance inductive learning (estimation of models such as functional dependencies that generalize to novel data sampled from the same underlying distribution). Nishant Mehta AssistantProfessor DepartmentofComputerScience UniversityofVictoria H +1(678)8255678 B [email protected] In these cases, it is sometimes necessary to use an approximate likelihood or faster emulator model for efficient statistical inference. Sugiyama (Eds. New papers published: my PhD students Joan and Julia got their papers accepted to L4DC'20 and COLT'20! Plus another COLT paper with the inimitable Nikita Zhivotovskiy. Deep sparse rectifier neural networks. NLP team at EMNLP: we will be presenting 2 papers at the main conference, 1 at CoNLL and 4 workshop papers; The COST action Multi3Generation was accepted: this is an European networking tool for researchers interested in (text) generation; 2 papers accepted at ICDAR, on using graph-CRF and GCN for table & document understanding. Seltenrich N (2020) Expanded View of PAHs: Identifying Especially Harmful Constituents of Bituminous Coal Smoke, Environmental Health Perspectives, 128:4, Online publication date: 1-Apr-2020. Three papers in NeurIPS 2019. More discussion about the disparate impact notion can be found in Sections. 2020-21CiaranEvans (StatDS) 2020-21AlanMishler (StatDS) 2020-21DanijelKivaranovic (Stat,UniversityofVienna) PhD Advanced Data Analysis Projects 2020 Nil-janaAkpinar (StatDS,jointwithTBD), Area: Post-electionauditing. 2006 [c29. ) [ApA, MLe, RaC, RoM] 'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators , with N. 2017: Our paper on Regression Uncertainty on the Grassmannian was accepted by AISTATS 2017 for oral presentation. SIADS 642 [online] Introduction to Deep Learning @ Fall 2020, Winter 2021. Submission server open: Tuesday, 17 September 2019: Paper submission deadline: Tuesday, 8 October 2019 23:59 PDT January 6, 2020: Deadline for camera-ready papers: Saturday, 29 February 2020 15:59 UTC: Registration deadline: August 10, 2020: Conference start: Wednesday, 26 August 2020: All deadlines are strict. 02/2020, New paper on nonlinear system identification. Added remaining bib files up to v26. A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements @inproceedings{Zheng2015ACG, title={A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements}, author={Qinqing Zheng and John D. ALT 2020 The 31st International Conference on Algorithmic Learning Theory Co-located with ITA 2020. Nov 2019 Dr. ICML 2020 Virtual Site » ICML 2020 Expo » Sponsor Hall » The schedule of posters is available (including calendar links)! Once you register, you will be able to watch the talks for all papers whenever you like, and then stop by one of the two poster offerings of any papers that you'd like to discuss with the authors. We introduce a particular approach to randomization, called Value-biased stochastic sampling (VBSS), which emphasizes the use of heuristic value in determining stochastic bias. arXiv:1811. POPCORN: Partially Observed Prediction-Constrained Reinforcement Learning, by Joseph Futoma, Michael C. NeurIPS, 2019. Solicited topics include, but are not limited to: Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and. NeurIPS, AISTATS, ICML, UAI, PLDI, and POPL. Song, A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop, Accepted to AISTATS 2018. In literature usually only one single asymmetric (Alpha, Beta or Gamma) divergence is considered. Three papers in ICML 2020. , Calibrating input parameters via eligibility sets, accepted in the Winter Simulation Conference (WSC), 2020. I gave a talk at United Imaging Intelligence (UII), Cambridge, MA. We have unlabeled observations coming from multiple linear regressions, and each observation corresponds to exactly one of the regression models. She was previously on faculty at Carnegie Mellon University. ICML 2020 Meeting Dates The Thirty-seventh annual conference is held Sun Jul 12th through Sat the 18th, 2020 at Virtual Conference Only. Submitted, 2020. Drinea, and P. However, the authors must notify us through email that they do not wish to be considered for PMLR proceedings. In 2020, it is to be held virtually due to covid-19 pandemic. accepted for Management Science, December 12, 2019 arxiv version. Accepted for publication at Medical Image Understanding and Analysis (MIUA) 2017. 2019: One paper has been accepted to AAAI 2020. Link to arxiv version, final pdf. Evaluating and aggregating feature-based model explanations. Please be. Github internship 2020 Github internship 2020. ICML 2020 Workshop on Continual Learning. All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. In ICML Workshop on the Art of Learning with Missing Values. 8 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2020. Temporarily at this URL-- sorry for the inconvenience. Short high-level introduction on statistical learning theory (AISTATS), 2020 (conference) Accepted. The Series Editors are Neil D. A new paper accepted to SoCG'20! Congratulations to Moshe Shechner on his first paper being accepted to AISTATS'20! My paper on Locally-private clustering was accepted to SODA'20. 6/1/2020 Our work on Value Preserving State Action Abstractions has been accepted for presentation at AISTATS, 2020. We were able to accept 20 papers as full research papers and 16 as short technical communications, yielding an acceptance rate of 27% for full papers and 49% overall. 11/2019: Attending ACML 2019 in Nagoya, Japan. Today, many algorithms can predict missing connections, but it is unknown how accuracy varies across algorithms and networks and whether link predictability varies across scientific domains. Yang and C. We address the problem of solving mixed random linear equations. He has received two Gödel prizes, one in 1994 for his work on circuit lower bounds and one in 2011 for his work on hardness of approximation. This special issue was titled Deep Learning: Mathematical. Table Extraction from WebPages (PowerQuery) Voted top 5 out of 150 new features in Power Query in 2018. 1 Room351A,StuzinHall, DepartmentofISOM,WarringtonCollegeofBusiness, UniversityofFlorida,Gainesville,FL32611,USA +1(412)721-3814 ynwang. 04/2020: 1 paper accepted by TPAMI on heterogeneous few-shot model reuse. Two Papers at AISTATS 2020 The DSP group will present two papers at the International Conference on Artificial Intelligence and Statistics (AISTATS) conference in June 2020 in Palermo, Sicily, Italy D. The AISTATS'17 paper [1] proposes mechanisms to make classification outcomes free of disparate impact, that is, to ensure that similar fractions of people from different demographic groups (e. (2019 Fall) I served as an area chair/meta-reviewer for the International Conference on Learning Representations and Artificial Intelligence and Statistics (AISTATS 2020). * AI Magazine, Vol 38, No 3, 2017 * presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY Access Model/Code and Paper. We beat the state-of-the-art in both object proposals generation and multi-target tracking. To maximise the value of your Registration for ECCV 2020 the content will be accessible on demand over the 12 months following the conference so you can enjoy the conference at your own pace. From my own (professional) perspective, I can describe it in two ways: The year of. We propose a model-based approach to estimating the interfacial gap between two mated surfaces and spatial connectivity among these gaps (i. All digit images have been size-normalized and centered in a fixed size image of 28 x 28 pixels. Temporarily at this URL-- sorry for the inconvenience. The 2020 conference will be held from May 31 to June 4, 2020 at the Palais des Congrès de Paris in Paris, France. 2019: I will serve as a reviewer for AISTATS 2020 Aug. This paper will appear in the special issue of ACM TALG devoted to selected papers from SODA 2015. The aim of the school is to introduce interested students with the basics of imprecise probability topics, both theoretical and applied. This paper is dedicated to the memory of S. 9: Gave a talk at Department of Epidemiology and Environmental Health, University at Buffalo. I will serve as an Associate Editor for Sequential Analysis, 2020-2022. Working papers: … Published papers: Steve Hanneke, Samory Kpotufe. Seltenrich N (2020) Expanded View of PAHs: Identifying Especially Harmful Constituents of Bituminous Coal Smoke, Environmental Health Perspectives, 128:4, Online publication date: 1-Apr-2020. The aim of the school is to introduce interested students with the basics of imprecise probability topics, both theoretical and applied. This paper is a merger of the following two manuscripts on arXiv:. Three papers in AAAI 2020. 9% (783/2620) (71 orals, 144 spotlights and 568 posters)-CVPR'18: 29. aista | aistats | aistarter | aistats 2021 | aistats 2020 | aista | aistac | aistara | aistarter2 | aistamu | aistana | aistarer | aistartek | aistats 2005 | ai. I was SAC for ACL 2020 and AC for ICLR 2020. Accepted to AISTATS 2020. 04/2020: 1 paper accepted by TPAMI on heterogeneous few-shot model reuse. AAAI Code of Conduct for Events and Conferences. Probabilistic programming conference papers are often accepted at top research conferences, e. Many people asked us about the possibility of holding a virtual CHI 2020 event. We propose a model-based approach to estimating the interfacial gap between two mated surfaces and spatial connectivity among these gaps (i. I am looking for self-motivated master and Ph. [2019/12] 2 Papers were. Chaudhuri and M. Latest News. 2020/02/25 One paper has been accepted to CVPR 2020. 20 May 2020 We have received top-up funding for the processing of SARS-CoV-2 EM microscopy images within our BMBF project SPAplus. “Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Ball” 12/2019 Attending NeurIPS 2019 to present our following papers: Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S Dhillon, Alexandros. Nonparametric Bayesian matrix factorization by Power-EP. Research & Service Conference Publications. Analyzing 203 link. 2019] One paper was accepted to ICML 2019, one paper was accepted to KDD 2019, and. Adarsh got 1 paper accepted at ISIT. [May 2019] Two papers were accepted to IJCAI 2019. Coded Computing for Distributed Graph Analytics. 03/01/2020. Boston University;. Multi-fidelity modelling enables accurate inference of quantities of interest by synergistically combining realizations of low-cost/low-fidelity models with a small set of high-fidelity observation. Two discharge capacity features are generated: the second-cycle discharge capacity, Q. The accepted papers can be found in the below table sorted in increasing order of Paper ID. LeJeune, H. View Lesley (Ellie) Danville’s profile on LinkedIn, the world's largest professional community. POPCORN: Partially Observed Prediction-Constrained Reinforcement Learning, by Joseph Futoma, Michael C. 20 (Markus Heinonen) Generative Modeling by Estimating Gradients of the Data Distribution 21. slides; January, 2020 Our paper, Deep Structured Mixtures of Gaussian Processes, with Martin Trapp, Robert Peharz, Franz Pernkopf, and Carl Rasmussen has been accepted at AISTATS. 23/12/2017 Our paper on grain boundary energy prediction has been accepted to Modelling and Simulation in Materials Science and Engineering (IF in 2016 = 1. Brooks Paige. Experimental functional characterization of these proteins is time-consuming and expensive, and is often only done rigorously for few selected model organisms. Four papers from LIONS' lab have been accepted to the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) and one paper to the 29th International Conference on Algorithmic Learning Theory (ALT 2018), co-located with AISTATS this year. volume 35, issue 18, pages 3294-3302, 2019. Long Paper Short Paper; CVPR'14: 29. Ten papers were accepted at AISTATS 2020. 2019: One paper has been accepted to AAAI 2020. [Jan 2019] Paper accepted at AISTATS 2020. My work lies at the intersection of computer science (especially algorithms) and applied mathematics (especially applied topology, discrete and combinatorial geometry). 20 May 2020 We have received top-up funding for the processing of SARS-CoV-2 EM microscopy images within our BMBF project SPAplus. Teaching in Fall 2020: CS 444: Deep Learning; A postdoc position is available. 24-01-20 The paper "Kernel computations from large-scale random features obtained by Optical Processing Units" has been accepted at ICASSP 2020! 07-01-20 The paper "LIBRE: Learning Interpretable Boolean Rule Ensembles" has been accepted at AISTATS 2020! 21-10-19 The paper "A comparative evaluation of novelty detection algorithms for discrete. 2020-21CiaranEvans (StatDS) 2020-21AlanMishler (StatDS) 2020-21DanijelKivaranovic (Stat,UniversityofVienna) PhD Advanced Data Analysis Projects 2020 Nil-janaAkpinar (StatDS,jointwithTBD), Area: Post-electionauditing. 2019] Three papers were accepted to AAAI 2020. The 2020 Conference on Empirical Methods in Natural Language Processing. The CIFAR-10 and CIF AR-100 [19] datasets contain. 1/2020: Two papers were accepted to The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2020). Taking both the intra-similarity in each modal and the inter-similarity across different modals into consideration, the proposed approach aims at. Scalable Spatial Scan Statistics for Trajectories. Fiterau, A. May 2020: Two papers accepted to EC'20, "Driver Surge Pricing" and "Designing Informative Rating Systems: Evidence from an Online Labor Market. In these cases, it is sometimes necessary to use an approximate likelihood or faster emulator model for efficient statistical inference. All in now, but there will b…. January 2020: Two papers accepted by the International Conference on Artificial Intelligence and Statistics (AISTATS) 2020! Stochastic Linear Contextual Bandits with Diverse Contexts , by W. van de Leur and others. 2020 ; Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction B. [2020/02] 2 Papers were accepted to CVPR 2020. I am an Assistant Professor in CS department at UW-Madison. Criminisi, and S. 8 ICML 2020 Accepted Papers! Jul 8, 2020. " Joint work with Y. 2019: one paper accepted at DAI 2019 Aug. Corpus ID: 2067621. We show in this paper that there exist families of such divergences with the same consistent properties. Accepted by IEEE Transactions on Pattern Ansalysis and Machine Intelligence (TPAMI), 2020. 3 papers accepted to Interspeech 2020 (links coming soon) New paper accepted to ECCV 2020: "Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer" (with Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, and Jiawen Chen). He is an associate editor-in-chief for IEEE Trans. Slobodan Vucetic's 140 research works with 5,975 citations and 7,130 reads, including: Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure. VFlow: More Expressive Generative Flows with Variational Data Augmentation, To Appear in proc. All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth here. ECML-PKDD 2020 Code of Conduct - 08 June 2020 The ECML-PKDD 2020 organization, and its Inclusion and Diversity Chairs in particular, are working on a Code of Conduct, to ensure that all members of the ECML-PKDD community at large feel welcome and respected as a person, and as a valued contributor to an open and unprejudiced scientific debate. Ku-Chun Chou, Chao-Kai Chiang, Hsuan-Tien Lin, and Chi-Jen Lu. AISTATS, 2020 extended arxiv version. February 2020: New paper out: “Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning” February 2020: Delivered an invited talk on “Communication-Efficient Federated Learning with Periodic Averaging and Quantization” at ITA 2020. In the 2D CNN with unpadded convolution, similar to the original U-net paper 38, mirrored images were used during inference for calculating the probability of each voxel being part of the proximal femur. 2020: Plenary speaker at SIAM Conference on Imaging Science , 2020. I am an Assistant Professor in CS department at UW-Madison. Chan, "Robust Coreset Construction for Distributed Machine Learning," accepted in IEEE Journal on Selected Areas in Communications, Jun. UNCLEAR: A Straightforward Method for Continual Reinforcement Learning. SIPTA Schools. The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. New preprint, A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model with Juan-José Giraldo. Ten papers were accepted at AISTATS 2020. He has a secondary appointment as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). 2020-01-12: One manuscript with Prof. However, the authors must notify us through email that they do not wish to be considered for PMLR proceedings. Variational Autoencoders (VAEs) have become a popular approach for dimensionality reduction. and Orvieto, A. Papers Deontological Ethics By Monotonicity Shape Constraints , Serena Wang, Maya Gupta, International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Shape Constraints for Set Functions , Andrew Cotter, Maya Gupta, H. Submit your work using our Submission S. Dimakis, Constantine Caramanis. Another of Xu’s papers, “Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer,” has been accepted by the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), a top signal processing conference. International Conference on Arti cial Intelligence and Statistics (AISTATS), 2020. Baraniuk, "The Implicit Regularization of Ordinary Least Squares Ensembles," AISTATS, 2020. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Many people asked us about the possibility of holding a virtual CHI 2020 event. Authors will then have the opportunity to briefly revise their papers to take account of feedback received at the conference, and must submit their final camera. ), Proceedings of the Twenty-Second Conference. In these cases, it is sometimes necessary to use an approximate likelihood or faster emulator model for efficient statistical inference. AISTATS 2020 Call for Papers. 8 papers co-authored by the OxCSML group members have been accepted to the main program of ICML 2020. NSF CAREER AWARD. The paper asserts that this algorithm outperforms the standard MTFS method in both time complexity and memory cost. May 2020: Our research on The Fast Loaded Dice Roller was covered by MIT News and Quanta. Introducing our AISTATS papers. The conference will take place in Palermo, Italy in early June 2020. Accepted at AISTATS, 2020. Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee. 3 papers accepted to Interspeech 2020 (links coming soon) New paper accepted to ECCV 2020: "Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer" (with Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, and Jiawen Chen). holds the Burroughs Wellcome Fund Career Award at the Scientific Interface. All in now, but there will b…. Solicited topics include, but are not limited to: - AISTATS 2020 The 23rd International Conference on Artificial Intelligence and Statistics. Two papers are accepted for publication in AISTATS 2015: Infinite edge partition models for overlapping community detection and link prediction. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020). dissertation. 2019: I will serve as a reviewer for AISTATS 2020 Aug. 2019: Two papers (one with Google Brain) have been accepted to ICLR 2020. Papers References [1]William Stephenson, Madeleine Udell, and Tamara Broderick. Expected to graduate in 2022. Recent Invited Talks (not including accepted paper presentations) ITA, San Diego, CA February, 2020 INFORMS, Seattle, WA October 2019 Microsoft Research workshop, Montr´eal, QC October 2019. , Jordan, M. One popular algorithm to provide interpretability is LIME (Local Interpretable Model-Agnostic Explanation). Choromanska, LdSM: Logarithm-depth Streaming Multi-label Decision Trees, in the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 pdf Y. 2020: Plenary speaker at SIAM Conference on Imaging Science , 2020. This will be available on the ECCV 2020 online platform starting from the regular conference dates, 23-28 August 2020. Nishant Mehta AssistantProfessor DepartmentofComputerScience UniversityofVictoria H +1(678)8255678 B [email protected] 2,020 open jobs. Accepted for publication at Medical Image Understanding and Analysis (MIUA) 2017. In AISTATS, 2012. Abstracts reads below, PDF is here, and code will be coming soon. Lijun Zhang and Prof. Reisizadeh, R. Solicited topics include, but are not limited to: - AISTATS 2020 The 23rd International Conference on Artificial Intelligence and Statistics. 26 Feb 2020 I wrote a blog that covers our recent papers on data valuation. [02/20] Workshop "Adversarial Machine Learning in Computer Vision" in CVPR 2020. Machine learning is used more and more often for sensitive applications, sometimes replacing humans in critical decision-making processes. Abstract submission: October 8, 2020, 08:00 AM PDT - Paper submission date: October 15, 2020, 08:00 AM PDT - Reviews released: November 23, 2020 - Author rebuttals due: November 28, 2020 - Final decisions: January 08, 2021 - Conference dates: April 13-15, 2021 Summary AISTATS is an interdisciplinary gathering of researchers at the. 7/2020, one paper on face recognition with label noise has been accepted by ECCV. In AISTATS, 2012. 2020: One paper has been accepted to ACL 2020. Papers must be formatted in AAAI two-column, camera-ready style; see the 2020 author kit for details (available July 2019). All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. However, despite their ability to identify latent low-dimensional structures embedded within high-dimensional data, these latent representations are typically hard to interpret on their own. Selected for spotlight presentation (top 22% of accepted papers) 10. , leakage path/channel) given the surface profiles. - (Feb, 2020) Invited to Speak at Auburn University. Other authors. We had four papers accepted at AI&Stats’17 on multi-armed bandit and reinforcement learning. 279-296, 2003. 2019: one paper accepted at DAI 2019 Aug. Our paper on fragment-based molecule generation just got accepted at AISTATS 2020: congratulations to Marco Podda for the achievement! Soon on the Arxiv. In this paper, we reviewed the recent trends on neuromorphic computing using emerging memory technologies. Papers will be selected via a rigorous double-blind peer-review process. Paper: 'MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means' accepted @ ICML-2019 [preprint on arXiv: paper] =new MMD and mean embedding estimators: with optimal sub-Gaussian rate & excessive resistance to contamination. 2020: Plenary speaker at SIAM Conference on Imaging Science , 2020. Invited talk: Numerical Methods and Applied Math Seminar, Mathematical Sciences, WPI, April 9, 2020. - (Apr, 2020) Paper on "ImageCLEF 2020 Tasks and Applications" accepted in ECIR-2020. (02/2019) Serving as reviewer for NIPS 2018, AISTATS 2019, and NeurIPS 2019. Hasheminezhad, Q. Florian Wenzel is a postdoctoral researcher at Google Brain Berlin working in the field of Bayesian deep learning. Dec 2019: Our work on multi-task learning is accepted at ICLR’20. Yu is a Research Scientist at Google, New York. Accepted to AISTATS 2020. Two papers accepted to AISTATS 2020! Benjamin Poignard, Makoto Yamada Sparse Hilbert-Schmidt Independence Criterion Regression. paper is accepted. Link to arxiv. January 31, 2020. 4, 2020] New paper "Mixed Strategies for Robust Optimization of Unknown Objectives" is now available on arXiv. Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning. I am looking for self-motivated master and Ph. New papers published: my PhD students Joan and Julia got their papers accepted to L4DC'20 and COLT'20! Plus another COLT paper with the inimitable Nikita Zhivotovskiy. Papers for talks and posters will be treated equally in publication. All previous studies have applied machine learning and deep learning techniques to make AI-based model for terrorism. Two papers in AISTATS 2020. Reisizadeh, R. Teaching Machine Learning Theory Cornell University, Spring 2018. Our paper The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks is accepted by CVPR 2020. Two papers accepted at ICML 2020. 15: Talk @ RIKEN AIP workshop. The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. BrAIN; DirtyData; fast-big; HiDimStat; Individual brain Charting; INSERM-INRIA 2018; Karaib; Large Small Brain Nets; meegBIDS; MetaMRI; MissingBigData. (02/2020) Serving as reviewer for AISTATS 2020, AAAI 2020, and ICML 2020. Journal Papers (* student or post-doc co-authors) G. A paper titled `Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback' accepted at NeurIPS 2019 A paper titled `Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach' accepted at INFOCOM 2020. 3 papers accepted at ICML 2020 ! All three are about bandits with delayed feedback. : My book Discrete Graphical Models - An Optimization Perspective is published! 2019, Sep. AISTATS 2020. Deep sparse rectifier neural networks. Zhi-Hua Zhou is accepted by IEEE Transactions on Knowledge and Data Engineering. The generous support of our sponsors allowed us to reduce our ticket price by about 50%, and support diverisy at the meeting with travel awards. 2019: I will serve as a reviewer for AISTATS 2020 Aug. 2019: one paper accepted at DAI 2019 Aug. 2020-01-12: One manuscript with Prof. and Statistics (AISTATS 2020) Tom a s Koc ak, R emi Munos, Branislav Kveton, Shipra Agrawal, Michal Valko: Spectral Bandits, accepted for publication to Journal of Machine Learning Research (JMLR 2020) Branislav Kveton, Zheng Wen, Azin Ashkan, Michal Valko: Learning to act greedily:. 2011-March2015 EU Projects (HORIZON 2020) - HORIZON2020,Research&InnovationAction: RoboticManipulationfor. (long version of the AISTATS paper above). Boston University;.