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Poster
Tue 7:00 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai · H. Vincent Poor · Yuxin Chen
Poster
Tue 7:00 Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
Poster
Tue 7:00 A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
Poster
Tue 8:00 Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu
Poster
Tue 8:00 Closing the convergence gap of SGD without replacement
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos
Poster
Tue 9:00 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans
Poster
Tue 9:00 Deep k-NN for Noisy Labels
Dara Bahri · Heinrich Jiang · Maya Gupta
Poster
Tue 9:00 Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue 10:00 Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain · Alon Orlitsky
Poster
Tue 13:00 The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
Francesca Mignacco · Florent Krzakala · Yue Lu · Pierfrancesco Urbani · Lenka Zdeborova
Poster
Tue 13:00 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska · ValĂ©rie Chavez-Demoulin · Thibault Vatter
Poster
Tue 14:00 Optimal Estimator for Unlabeled Linear Regression
Hang Zhang · Ping Li