Sen, Siddhartha

7 publications

TMLR 2026 Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Zhenwei Tang, Difan Jiao, Eric Xue, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

ICLR 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh

AAAI 2024 Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang

ICLR 2024 Designing Skill-Compatible AI: Methodologies and Frameworks in Chess Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson

NeurIPS 2024 Maia-2: A Unified Model for Human-AI Alignment in Chess Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

ICML 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen

NeurIPS 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess Reid McIlroy-Young, Yu Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson