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378 Results
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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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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI Gopinaath Kannabiran · Sacha Knox |
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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 |
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Poster
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Fri 16:30 |
Many-shot Jailbreaking Cem Anil · Esin DURMUS · Nina Panickssery · Mrinank Sharma · Joe Benton · Sandipan Kundu · Joshua Batson · Meg Tong · Jesse Mu · Daniel Ford · Francesco Mosconi · Rajashree Agrawal · Rylan Schaeffer · Naomi Bashkansky · Samuel Svenningsen · Mike Lambert · Ansh Radhakrishnan · Carson Denison · Evan Hubinger · Yuntao Bai · Trenton Bricken · Timothy Maxwell · Nicholas Schiefer · James Sully · Alex Tamkin · Tamera Lanham · Karina Nguyen · Tomek Korbak · Jared Kaplan · Deep Ganguli · Samuel Bowman · Ethan Perez · Roger Grosse · David Duvenaud |