Search All 2022 Events
 

12 Results

<<   <   Page 1 of 1   >>   >
Poster
Wed 9:00 Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes · Will Ma · Omar Mouchtaki
Poster
Wed 14:00 AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari
Poster
Tue 14:00 A Statistical Online Inference Approach in Averaged Stochastic Approximation
Chuhan Xie · Zhihua Zhang
Poster
Thu 9:00 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
Poster
Trustworthy Monte Carlo
Juha Harviainen · Mikko Koivisto · Petteri Kaski
Workshop
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
Poster
When Combinatorial Thompson Sampling meets Approximation Regret
Pierre Perrault
Poster
Wed 9:00 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
Philip Amortila · Nan Jiang · Dhruv Madeka · Dean Foster
Poster
Tue 9:00 Sample Constrained Treatment Effect Estimation
Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao
Workshop
Flow Annealed Importance Sampling Bootstrap
Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato
Poster
Tue 14:00 Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs
Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
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