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