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Poster
Wed 14:00 Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
Poster
Wed 9:00 Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Abhishek Gupta · Aldo Pacchiano · Yuexiang Zhai · Sham Kakade · Sergey Levine
Poster
Wed 9:00 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
Poster
Thu 9:00 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
Poster
Wed 14:00 Optimal Weak to Strong Learning
Kasper Green Larsen · Martin Ritzert
Poster
Tue 9:00 Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun
Poster
Wed 14:00 An Analysis of Ensemble Sampling
Chao Qin · Zheng Wen · Xiuyuan Lu · Benjamin Van Roy
Poster
Tue 9:00 A Theory of PAC Learnability under Transformation Invariances
Han Shao · Omar Montasser · Avrim Blum
Poster
Tue 14:00 Learning from a Sample in Online Algorithms
C.J. Argue · Alan Frieze · Anupam Gupta · Christopher Seiler
Poster
Tue 9:00 Active Ranking without Strong Stochastic Transitivity
Hao Lou · Tao Jin · Yue Wu · Pan Xu · Quanquan Gu · Farzad Farnoud
Poster
Wed 14:00 Estimation of Entropy in Constant Space with Improved Sample Complexity
Maryam Aliakbarpour · Andrew McGregor · Jelani Nelson · Erik Waingarten
Poster
Wed 14:00 On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Yang Hu · Adam Wierman · Guannan Qu