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Poster
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Thu 14:00
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Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang · Nan Jiang
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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
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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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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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Learning Optimal Flows for Non-Equilibrium Importance Sampling
Yu Cao · Eric Vanden-Eijnden
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Poster
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Tue 14:00
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Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen · Defu Lian · Yucheng Li · Baoyun Wang · Kai Zheng · Enhong Chen
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Poster
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Wed 14:00
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A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc · François Portier · Johan Segers · Aigerim Zhuman
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Poster
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Tue 14:00
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BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson
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Workshop
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Fri 9:00
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ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET
Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm
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Poster
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Wed 9:00
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Off-Policy Evaluation with Deficient Support Using Side Information
Nicolò Felicioni · Maurizio Ferrari Dacrema · Marcello Restelli · Paolo Cremonesi
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Poster
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Thu 14:00
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Convergence for score-based generative modeling with polynomial complexity
Holden Lee · Jianfeng Lu · Yixin Tan
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