Anderson, Ashton

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 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

NeurIPSW 2023 ICL-Markup: Structuring In-Context Learning Using Soft-Token Tags Marc-Etienne Brunet, Ashton Anderson, Richard Zemel

NeurIPS 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions Marc-Etienne Brunet, Ashton Anderson, Richard S. Zemel

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

ICML 2019 Understanding the Origins of Bias in Word Embeddings Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, Richard Zemel