Transfer Learning for Estimating Causal Effects using Neural Networks. - Sören R. Künzel; Bradly C. Stadie; Nikita Vemuri; Varsha Ramakrishnan; Jasjeet S. Sekhon; Pieter Abbeel (CoRR, 2018)

Shrinkage Estimators in Online Experiments. - Drew Dimmery; Eytan Bakshy; Jasjeet S. Sekhon (KDD, 2019)

Hybridized Threshold Clustering for Massive Data. - Jianmei Luo; ChandraVyas Annakula; Aruna Sai Kannamareddy; Jasjeet S. Sekhon; William Henry Hsu; Michael Higgins (CoRR, 2019)

Linear Aggregation in Tree-Based Estimators. - Sören R. Künzel; Theo Saarinen; Edward W. Liu; Jasjeet S. Sekhon (J. Comput. Graph. Stat., 2022)

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; Jasjeet S. Sekhon; James S. Duncan (MICCAI (4), 2023)

Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator. - Dennis Shen; Dogyoon Song; Peng Ding; Jasjeet S. Sekhon (CoRR, 2023)

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk. - Colleen E. Chan; Kisung You; Sunny Chung; Mauro Giuffrè; Theo Saarinen; Niroop Rajashekar; Yuan Pu 002; Yeo Eun Shin; Loren Laine; Ambrose Wong; René F. Kizilcec; Jasjeet S. Sekhon; et al. (CoRR, 2023)

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. - Niroop Channa Rajashekar; Yeo Eun Shin; Yuan Pu 002; Sunny Chung; Kisung You; Mauro Giuffrè; Colleen E. Chan; Theo Saarinen; Allen Hsiao; Jasjeet S. Sekhon; Ambrose H. Wong; Leigh V. Evans; et al. (CHI, 2024)

Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA. - Shinpei Nakamura-Sakai; Dennis L. Shung; Jasjeet S. Sekhon (CHIL, 2024)

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. - Chenyu You; Yifei Min; Weicheng Dai; Jasjeet S. Sekhon; Lawrence H. Staib; James S. Duncan (CVPR, 2024)

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. - Mauro Giuffrè; Kisung You; Ziteng Pang; Simone Kresevic; Sunny Chung; Ryan Chen; Youngmin Ko; Colleen E. Chan; Theo Saarinen; Milos Ajcevic; Lory S. Crocè; Guadalupe Garcia-Tsao; et al. (npj Digit. Medicine, 2025)

The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations. - Chenyu You; Haocheng Dai; Yifei Min; Jasjeet S. Sekhon; Sarang C. Joshi; James S. Duncan (CoRR, 2025)

A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies. - Zhongren Chen; Joshua Kalla; Quan Le; Shinpei Nakamura-Sakai; Jasjeet S. Sekhon; Ruixiao Wang 001 (CoRR, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)