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Poster
Wed 11:00 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
Yaqi Duan · Martin Wainwright
Poster
Wed 11:00 Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
Poster
Wed 16:30 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
Shinsaku Sakaue · Taihei Oki
Poster
Fri 16:30 A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev · Sascha Marton · Stefan Lüdtke · Christian Bartelt · Heiner Stuckenschmidt
Poster
Fri 11:00 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
Workshop
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh · Tiankang Xie · Mikhail Kuznetsov
Poster
Thu 16:30 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Wed 16:30 Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou · Yaoxin Wu · Zhiguang Cao · Wen Song · Jie Zhang · Zhiqi Shen
Poster
Thu 11:00 Improving Adaptivity via Over-Parameterization in Sequence Models
Yicheng Li · Qian Lin
Poster
Wed 16:30 Oracle-Efficient Differentially Private Learning with Public Data
Adam Block · Mark Bun · Rathin Desai · Abhishek Shetty · Steven Wu
Poster
Fri 16:30 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Rui Yang · Jie Wang · Guoping Wu · Bin Li
Poster
Fri 16:30 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo · Dingyang Chen · Qi Zhang