Building Statistical Language Models of code. - Peter Schulam; Roni Rosenfeld; Premkumar T. Devanbu (DAPSE@ICSE, 2013)

Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery. - Peter Schulam; Fredrick Wigley; Suchi Saria (AAAI, 2015)

A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases. - Peter Schulam; Colin Ligon; Robert Wise; Laura K. Hummers; Fredrick Wigley; Suchi Saria (AMIA, 2015)

A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. - Peter Schulam; Suchi Saria (NIPS, 2015)

Disease Trajectory Maps. - Peter Schulam; Raman Arora (NIPS, 2016)

Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses. - Peter Schulam; Suchi Saria (J. Mach. Learn. Res., 2016)

Reliable Decision Support using Counterfactual Models. - Peter Schulam; Suchi Saria (NIPS, 2017)

What-If Reasoning with Counterfactual Gaussian Processes. - Peter Schulam; Suchi Saria (CoRR, 2017)

Opportunities in Machine Learning for Healthcare. - Marzyeh Ghassemi; Tristan Naumann; Peter Schulam; Andrew L. Beam; Rajesh Ranganath (CoRR, 2018)

Discretizing Logged Interaction Data Biases Learning for Decision-Making. - Peter Schulam; Suchi Saria (CoRR, 2018)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

Learning Predictive Models That Transport. - Adarsh Subbaswamy; Peter Schulam; Suchi Saria (CoRR, 2018)

Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. - Peter Schulam; Suchi Saria (AISTATS, 2019)

Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. - Adarsh Subbaswamy; Peter Schulam; Suchi Saria (AISTATS, 2019)

Active Learning for Decision-Making from Imbalanced Observational Data. - Iiris Sundin; Peter Schulam; Eero Siivola; Aki Vehtari; Suchi Saria; Samuel Kaski (ICML, 2019)

Auditing Pointwise Reliability Subsequent to Training. - Peter Schulam; Suchi Saria (CoRR, 2019)

QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism. - Weston Feely; Prabhakar Gupta; Manas Ranjan Mohanty; Timothy Chon; Tuhin Kundu; Vijit Singh; Sandeep Atluri; Tanya Roosta; Viviane Ghaderi; Peter Schulam (SemEval@ACL, 2023)

Improving the Exploration/Exploitation Trade-Off in Web Content Discovery. - Peter Schulam; Ion Muslea (WWW (Companion Volume), 2023)