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Poster
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Tight Rates for Bandit Control Beyond Quadratics
Y. Jennifer Sun · Zhou Lu
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Poster
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Thu 16:30
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How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
Jun Chen · Hong Chen · Bin Gu
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Poster
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Wed 16:30
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Batched Energy-Entropy acquisition for Bayesian Optimization
Felix Teufel · Carsten Stahlhut · Jesper Ferkinghoff-Borg
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Poster
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Fri 16:30
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Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee · Min-hwan Oh
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Session
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Wed 10:00
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Overflow for Oral Session 1C: Optimization and Learning Theory
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Poster
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Wed 11:00
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Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim · Tai Nakamaki · Taiji Suzuki
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Poster
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Wed 11:00
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Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
Yuhang Cai · Jingfeng Wu · Song Mei · Michael Lindsey · Peter Bartlett
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Poster
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Wed 16:30
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A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
Heyang Zhao · Jiafan He · Quanquan Gu
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Poster
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Thu 11:00
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Controlling Continuous Relaxation for Combinatorial Optimization
Yuma Ichikawa
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Poster
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Wed 16:30
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Optimal Design for Human Preference Elicitation
Subhojyoti Mukherjee · Anusha Lalitha · Kousha Kalantari · Aniket Anand Deshmukh · Ge Liu · Yifei Ma · Branislav Kveton
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Poster
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Thu 16:30
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Optimal Hypothesis Selection in (Almost) Linear Time
Maryam Aliakbarpour · Mark Bun · Adam Smith
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Poster
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Wed 16:30
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Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
Audrey Huang · Nan Jiang
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