Poster

Tue 10:00

Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain · Alon Orlitsky

Poster

Tue 13:00

Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter

Poster

Tue 8:00

Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu

Poster

Thu 7:00

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman

Poster

Wed 5:00

Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi · Varun Jog

Poster

Thu 6:00

Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang

Poster

Tue 7:00

Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky

Poster

Wed 5:00

Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
Siqiang Luo

Poster

Tue 9:00

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans

Poster

Tue 18:00

Logistic Regression for Massive Data with Rare Events
HaiYing Wang

Poster

Tue 8:00

Closing the convergence gap of SGD without replacement
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos

Poster

Wed 5:00

Message Passing Least Squares Framework and its Application to Rotation Synchronization
Yunpeng Shi · Gilad Lerman