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14 Results
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Invited Talk
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Mon 23:30 |
Importance-Weighting Approach to Distribution Shift Adaptation Masashi Sugiyama |
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Workshop
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Max-margin Inspired Per-sample Re-weighting for Robust Deep Learning Ramnath Kumar · Kushal Majmundar · Dheeraj Nagaraj · Arun Suggala |
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Poster
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Wed 7:30 |
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting Zhang-Wei Hong · Pulkit Agrawal · Remi Tachet des Combes · Romain Laroche |
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Poster
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Mon 2:30 |
Denoising Diffusion Samplers Francisco Vargas · Will Grathwohl · Arnaud Doucet |
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Poster
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Wed 2:30 |
Leveraging Importance Weights in Subset Selection Gui Citovsky · Giulia DeSalvo · Sanjiv Kumar · Srikumar Ramalingam · Afshin Rostamizadeh · Yunjuan Wang |
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Poster
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Tue 7:30 |
GFlowNets and variational inference Nikolay Malkin · Salem Lahlou · Tristan Deleu · Xu Ji · Edward Hu · Katie Everett · Dinghuai Zhang · Yoshua Bengio |
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Poster
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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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Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu · Haoran Liu · Shuiwang Ji |
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Poster
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Efficient Attention via Control Variates Lin Zheng · Jianbo Yuan · Chong Wang · Lingpeng Kong |
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Oral
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Tue 6:10 |
Flow Annealed Importance Sampling Bootstrap Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schoelkopf · José Miguel Hernández Lobato |
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Poster
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Tue 7:30 |
Flow Annealed Importance Sampling Bootstrap Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schoelkopf · José Miguel Hernández Lobato |
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Poster
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Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning Xinqiang Cai · Yao-Xiang Ding · Zixuan Chen · Yuan Jiang · Masashi Sugiyama · Zhi-Hua Zhou |