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20 Results
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Poster
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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 |
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Poster
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Tue 14:00 |
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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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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An Investigation into Whitening Loss for Self-supervised Learning Xi Weng · Lei Huang · Lei Zhao · Rao Anwer · Salman Khan · Fahad Shahbaz Khan |
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Workshop
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Mixed Samples Data Augmentation with Replacing Latent Vector Components in Normalizing Flow Genki Osada · Budrul Ahsan · Takashi Nishide |
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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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Workshop
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Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li · Chuyun Shen · Qisen Xu · Bin Hu · · Haibin Cai · Fengping Zhu · Yuxin Li · Xiangfeng Wang |
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Poster
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Geodesic Self-Attention for 3D Point Clouds Zhengyu Li · XUAN TANG · Zihao Xu · Xihao Wang · Hui Yu · Mingsong Chen · xian wei |
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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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Poster
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Wed 9:00 |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig |
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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 |