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907 Results
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Poster
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Thu 16:30 |
Fine-Tuning is Fine, if Calibrated Zheda Mai · Arpita Chowdhury · Ping Zhang · Cheng-Hao Tu · Hong-You Chen · Vardaan Pahuja · Tanya Berger-Wolf · Song Gao · Charles Stewart · Yu Su · Wei-Lun (Harry) Chao |
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Poster
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Wed 11:00 |
Offline Multitask Representation Learning for Reinforcement Learning Haque Ishfaq · Thanh Nguyen-Tang · Songtao Feng · Raman Arora · Mengdi Wang · Ming Yin · Doina Precup |
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Poster
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Thu 16:30 |
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert · Malik Tiomoko · Cosme Louart · Ambroise Odonnat · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |
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Poster
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Thu 11:00 |
Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong |
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Poster
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Thu 16:30 |
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie · Samira Samadi |
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Poster
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Wed 16:30 |
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li · Penghao Zhao · Hailin Zhang · Xingwu Sun · Hao Wu · Dian Jiao · Weiyan Wang · Chengjun Liu · Zheng Fang · Jinbao Xue · Yangyu Tao · Bin CUI · Di Wang |
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Poster
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Thu 16:30 |
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning Sergey Samsonov · Eric Moulines · Qi-Man Shao · Zhuo-Song Zhang · Alexey Naumov |