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Oral Session
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Wed 7:00 |
Learning Theory 6 |
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Poster
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Wed 21:00 |
Improved Regret Bound and Experience Replay in Regularized Policy Iteration Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari |
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Spotlight
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Wed 7:40 |
Collaborative Bayesian Optimization with Fair Regret Rachael Hwee Ling Sim · Yehong Zhang · Bryan Kian Hsiang Low · Patrick Jaillet |
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Spotlight
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Thu 20:35 |
Boosting for Online Convex Optimization Elad Hazan · Karan Singh |
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Spotlight
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Thu 20:45 |
Learner-Private Convex Optimization Jiaming Xu · Kuang Xu · Dana Yang |
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Oral Session
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Wed 5:00 |
Deep Learning Theory 2 |
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Oral
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Wed 5:00 |
Near Optimal Reward-Free Reinforcement Learning Zhang Zihan · Simon Du · Xiangyang Ji |
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Oral Session
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Wed 5:00 |
Learning Theory 3 |
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Poster
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Tue 9:00 |
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis |
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Poster
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Thu 9:00 |
Implicit Regularization in Tensor Factorization Noam Razin · Asaf Maman · Nadav Cohen |
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Poster
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Thu 9:00 |
Tilting the playing field: Dynamical loss functions for machine learning Miguel Ruiz Garcia · Ge Zhang · Samuel Schoenholz · Andrea Liu |
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Spotlight
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Wed 5:35 |
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo |