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343 Results
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Poster
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Wed 21:00 |
Learning to search efficiently for causally near-optimal treatments Samuel Håkansson · Viktor Lindblom · Omer Gottesman · Fredrik Johansson |
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Workshop
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Contributed Talk 2 Presentation - "Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation" Thibault Cordier |
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Poster
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Mon 21:00 |
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang · Qiaomin Xie |
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Poster
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Thu 21:00 |
CO-Optimal Transport Titouan Vayer · Ievgen Redko · Rémi Flamary · Nicolas Courty |
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Poster
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Tue 9:00 |
Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity Simon Du · Jason Lee · Gaurav Mahajan · Ruosong Wang |
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Poster
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Tue 9:00 |
Near-Optimal Comparison Based Clustering Michaël Perrot · Pascal Esser · Debarghya Ghoshdastidar |
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Poster
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Tue 9:00 |
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq · CHUAN XU · Giovanni Neglia · Richard Vidal |
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Poster
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Wed 21:00 |
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark |
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Poster
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Mon 21:00 |
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang · Sham Kakade · Tamer Basar · Lin Yang |
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Poster
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Wed 9:00 |
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik · Grégoire Delétang · Tom McGrath · Tim Genewein · Miljan Martic · Shane Legg · Pedro Ortega |
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Poster
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Tue 9:00 |
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals Ilias Diakonikolas · Daniel Kane · Nikos Zarifis |
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Oral
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Wed 18:15 |
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark |