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Poster
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Wed 14:00
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Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
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Poster
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Thu 9:00
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Minimax Regret for Cascading Bandits
Daniel Vial · Sujay Sanghavi · Sanjay Shakkottai · R. Srikant
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Workshop
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Online Learning of Optimal Control Signals in Stochastic Linear Dynamical Systems
Mohamad Kazem Shirani Faradonbeh
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Workshop
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IMPON: Efficient IMPortance sampling with ONline regression for rapid neural network training
Vignesh Ganapathiraman · Francisco Calderon · Anila Joshi
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Workshop
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Data-driven subgroup identification for linear regression
Zachary Izzo · Ruishan Liu · James Zou
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Poster
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Thu 14:00
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What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg · Dimitris Tsipras · Percy Liang · Gregory Valiant
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Workshop
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Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan
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Workshop
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Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD
Arjun Subramonian · Levent Sagun · Kai-Wei Chang · Yizhou Sun
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Poster
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Tue 14:00
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Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer
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Poster
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Wed 14:00
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Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
Hao Sun · Lei Han · Rui Yang · Xiaoteng Ma · Jian Guo · Bolei Zhou
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Poster
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Tue 14:00
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Robust Testing in High-Dimensional Sparse Models
Anand Jerry George · Clément L Canonne
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Workshop
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Minimax Optimal Fair Regression under Linear Model
Kazuto Fukuchi · Jun Sakuma
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