Peter Schulam - RankMe

22 papers A* 2A 2Misc 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating the Utility of Grounding Documents with Reference-Free LLM-based Metrics. CoRR Yilun Hua, Giuseppe Castellucci, Peter Schulam, Heba Elfardy, Kevin Small
2025	—	`ed.`	Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 - System Demonstrations, Suzhou, China, November 4-9, 2025 EMNLP (System Demonstrations) Ivan Habernal, Peter Schulam, Jörg Tiedemann
2023	—	`conf`	Improving the Exploration/Exploitation Trade-Off in Web Content Discovery. WWW (Companion Volume) Peter Schulam, Ion Muslea
2023	—	`conf`	QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism. SemEval@ACL Weston Feely, Prabhakar Gupta, Manas Ranjan Mohanty, Timothy Chon, Tuhin Kundu, Vijit Singh, Sandeep Atluri, Tanya G. Roosta, Viviane Ghaderi, Peter Schulam
2019	A*	`conf`	Active Learning for Decision-Making from Imbalanced Observational Data. ICML Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019	J	`jnl`	Active Learning for Decision-Making from Imbalanced Observational Data. CoRR Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019	J	`jnl`	Auditing Pointwise Reliability Subsequent to Training. CoRR Peter Schulam, Suchi Saria
2019	A	`conf`	Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. AISTATS Peter Schulam, Suchi Saria
2019	A	`conf`	Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2018	J	`jnl`	Discretizing Logged Interaction Data Biases Learning for Decision-Making. CoRR Peter Schulam, Suchi Saria
2018	J	`jnl`	Learning Predictive Models That Transport. CoRR Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2018	J	`jnl`	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR 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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
2018	J	`jnl`	Opportunities in Machine Learning for Healthcare. CoRR Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath
2017	—	`conf`	Reliable Decision Support using Counterfactual Models. NIPS Peter Schulam, Suchi Saria
2017	J	`jnl`	What-If Reasoning with Counterfactual Gaussian Processes. CoRR Peter Schulam, Suchi Saria
2016	—	`conf`	Disease Trajectory Maps. NIPS Peter Schulam, Raman Arora
2016	J	`jnl`	Disease Trajectory Maps. CoRR Peter Schulam, Raman Arora
2016	J	`jnl`	Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses. J. Mach. Learn. Res. Peter Schulam, Suchi Saria
2015	—	`conf`	A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. NIPS Peter Schulam, Suchi Saria
2015	Misc	`conf`	A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases. AMIA Peter Schulam, Colin Ligon, Robert Wise, Laura K. Hummers, Fredrick Wigley, Suchi Saria
2015	A*	`conf`	Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery. AAAI Peter Schulam, Fredrick Wigley, Suchi Saria
2013	—	`conf`	Building Statistical Language Models of code. DAPSE@ICSE Peter Schulam, Roni Rosenfeld, Premkumar T. Devanbu