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19 Results
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Poster
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Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao · Eric Vanden-Eijnden |
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Workshop
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Learning Efficient Hybrid Particle-continuum Representations of Non-equilibrium N-body Systems Tailin Wu · Michael Sun · Hsuan-Gu Chou · Pranay Reddy Samala · Sithipont Cholsaipant · Sophia Kivelson · Jacqueline Yau · Rex Ying · E. Paulo Alves · Jure Leskovec · Frederico Fiuza |
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Poster
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Thu 14:00 |
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions Audrey Huang · Nan Jiang |
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Poster
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Tue 14:00 |
Learning Mixed Multinomial Logits with Provable Guarantees Yiqun Hu · David Simchi-Levi · Zhenzhen Yan |
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Poster
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Wed 9:00 |
Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski |
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Poster
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Wed 9:00 |
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes · Will Ma · Omar Mouchtaki |
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Workshop
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Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction Brahma Pavse · Josiah Hanna |
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Poster
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Thu 9:00 |
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet · Will Grathwohl · Alexander Matthews · Heiko Strathmann |
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Workshop
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IMPON: Efficient IMPortance sampling with ONline regression for rapid neural network training Vignesh Ganapathiraman · Francisco Calderon · Anila Joshi |
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Poster
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Tue 14:00 |
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang |
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Poster
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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 |
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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 |