Foster, Dean

19 publications

ICLR 2025 How Does Critical Batch Size Scale in Pre-Training? Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean Foster, Sham M. Kakade

ICLR 2025 Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean Foster, Udaya Ghai

NeurIPSW 2024 How Does Critical Batch Size Scale in Pre-Training? Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean Foster, Sham M. Kakade

NeurIPSW 2024 Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean Foster, Udaya Ghai

ICMLW 2024 Playing Large Games with Oracles and AI Debate Xinyi Chen, Angelica Chen, Dean Foster, Elad Hazan

TMLR 2024 Scaling Laws for Imitation Learning in Single-Agent Games Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean Foster, Karthik R Narasimhan, Sham M. Kakade

NeurIPSW 2023 A Study on the Calibration of In-Context Learning Hanlin Zhang, YiFan Zhang, Yaodong Yu, Dhruv Madeka, Dean Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade

NeurIPSW 2023 Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data Nilesh Tripuraneni, Dominique Perrault-Joncas, Dhruv Madeka, Dean Foster, Michael Jordan

COLT 2023 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring Dean Foster, Dylan J. Foster, Noah Golowich, Alexander Rakhlin

ICML 2021 Top-K eXtreme Contextual Bandits with Arm Hierarchy Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel N Hill, Inderjit S. Dhillon

ICML 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster

ICLR 2021 What Are the Statistical Limits of Offline RL with Linear Function Approximation? Ruosong Wang, Dean Foster, Sham M. Kakade

ICML 2019 Deep Factors for Forecasting Yuyang Wang, Alex Smola, Danielle Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski

ICML 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis Zhuang Ma, Yichao Lu, Dean Foster

AISTATS 2012 Domain Adaptation: A Small Sample Statistical Approach Ruslan Salakhutdinov, Sham Kakade, Dean Foster

AISTATS 2012 No Internal Regret via Neighborhood Watch Dean Foster, Alexander Rakhlin

AISTATS 2011 Domain Adaptation with Coupled Subspaces John Blitzer, Sham Kakade, Dean Foster

JMLR 2011 Minimum Description Length Penalization for Group and Multi-Task Sparse Learning Paramveer S. Dhillon, Dean Foster, Lyle H. Ungar

AISTATS 2010 Feature Selection Using Multiple Streams Paramveer Dhillon, Dean Foster, Lyle Ungar