A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt. - Jason Yan; Melanie D. Sage; Seventy F. Hall; Yuhao Du; Kenneth Joseph (CoRR, 2021)

Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression. - Yecheng Jason Ma; Jason Yan; Dinesh Jayaraman; Osbert Bastani (NeurIPS, 2022)

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression. - Yecheng Jason Ma; Jason Yan; Dinesh Jayaraman; Osbert Bastani (CoRR, 2022)

Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. - Yecheng Jason Ma; Kausik Sivakumar; Jason Yan; Osbert Bastani; Dinesh Jayaraman (L4DC, 2023)

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. - Yecheng Jason Ma; Kausik Sivakumar; Jason Yan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2023)

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. - Aparna Ananthasubramaniam; Hong Chen; Jason Yan; Kenan Alkiek; Jiaxin Pei; Agrima Seth; Lavinia Dunagan; Minje Choi; Benjamin Litterer; David Jurgens (CoRR, 2023)

Tab2Text - A framework for deep learning with tabular data. - Tong Lin 005; Jason Yan; David Jurgens; Sabina Tomkins (EMNLP (Findings), 2024)

What Do You Learn About Hard News from Soft News Outlets - A Case Study from People Magazine Online. - Jason Yan; Kerri Milita; Yanna Krupnikov; Sabina Tomkins (ICWSM, 2025)