Oral Session

Tue 16:15

Bandits, Reinforcement Learning / Optimization

Oral Session

Wed 9:15

Bandits, Reinforcement Learning / Learning Theory / Sparse Methods

Poster

Wed 12:45

DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu

Poster

Tue 18:30

On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han

Poster

Tue 14:00

No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey

Poster

Tue 18:30

Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi

Poster

Wed 12:45

Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan Günnemann

Poster

Tue 18:30

Corralling Stochastic Bandit Algorithms
Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri

Poster

Wed 6:00

Logistic Q-Learning
Joan Bas Serrano · Sebastian Curi · Andreas Krause · Gergely Neu

Poster

Thu 7:30

No-regret Algorithms for Multi-task Bayesian Optimization
Sayak Ray Chowdhury · Aditya Gopalan

Poster

Wed 6:00

Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Lucas Cassano · Ali H. Sayed

Poster

Thu 7:30

Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Marc Abeille · Louis Faury · Clement Calauzenes