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ORCIDPeter Schulam 0001
Person information
- affiliation: Amazon Alexa, USA
- affiliation (PhD): Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2026
[i9]Yilun Hua, Giuseppe Castellucci, Peter Schulam, Heba Elfardy, Kevin Small:
Evaluating the Utility of Grounding Documents with Reference-Free LLM-based Metrics. CoRR abs/2601.23129 (2026)- 2025
- [e1]Ivan Habernal, Peter Schulam, Jörg Tiedemann:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 - System Demonstrations, Suzhou, China, November 4-9, 2025. Association for Computational Linguistics 2025 [contents] - 2023
- [c18]Weston Feely, Prabhakar Gupta, Manas Ranjan Mohanty, Timothy Chon, Tuhin Kundu, Vijit Singh, Sandeep Atluri, Tanya G. Roosta, Viviane Ghaderi, Peter Schulam:
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism. SemEval@ACL 2023: 1260-1270 - [c17]Peter Schulam
, Ion Muslea:
Improving the Exploration/Exploitation Trade-Off in Web Content Discovery. WWW (Companion Volume) 2023: 1183-1189
2010 – 2019
- 2019
- [c16]Peter Schulam, Suchi Saria:
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. AISTATS 2019: 1022-1031 - [c15]Adarsh Subbaswamy, Peter Schulam, Suchi Saria:
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS 2019: 3118-3127 - [c14]Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski:
Active Learning for Decision-Making from Imbalanced Observational Data. ICML 2019: 6046-6055 - [i8]Peter Schulam, Suchi Saria:
Auditing Pointwise Reliability Subsequent to Training. CoRR abs/1901.00403 (2019) - [i7]Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski:
Active Learning for Decision-Making from Imbalanced Observational Data. CoRR abs/1904.05268 (2019) - 2018
- [i6]Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath:
Opportunities in Machine Learning for Healthcare. CoRR abs/1806.00388 (2018) - [i5]Peter Schulam, Suchi Saria:
Discretizing Logged Interaction Data Biases Learning for Decision-Making. CoRR abs/1810.03025 (2018) - [i4]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:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - [i3]Adarsh Subbaswamy, Peter Schulam, Suchi Saria:
Learning Predictive Models That Transport. CoRR abs/1812.04597 (2018) - 2017
- [c13]Peter Schulam, Suchi Saria:
Reliable Decision Support using Counterfactual Models. NIPS 2017: 1696-1706 - [i2]Peter Schulam, Suchi Saria:
What-If Reasoning with Counterfactual Gaussian Processes. CoRR abs/1703.10651 (2017) - 2016
- [j3]Peter Schulam, Suchi Saria:
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses. J. Mach. Learn. Res. 17: 234:1-234:35 (2016) - [c12]Peter Schulam, Raman Arora:
Disease Trajectory Maps. NIPS 2016: 4709-4717 - [i1]Peter Schulam, Raman Arora:
Disease Trajectory Maps. CoRR abs/1606.09184 (2016) - 2015
- [c11]Peter Schulam, Fredrick Wigley, Suchi Saria:
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery. AAAI 2015: 2956-2964 - [c10]Peter Schulam, Colin Ligon, Robert Wise, Laura K. Hummers, Fredrick Wigley, Suchi Saria:
A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases. AMIA 2015 - [c9]Peter Schulam, Suchi Saria:
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. NIPS 2015: 748-756 - 2014
- [c8]Peter F. Schulam, Murat Akbacak:
Diagnostic techniques for spoken keyword discovery. INTERSPEECH 2014: 1752-1756 - 2013
- [j2]Vera Sheinman, Christiane Fellbaum, Isaac Julien, Peter F. Schulam, Takenobu Tokunaga:
Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet. Lang. Resour. Evaluation 47(3): 797-816 (2013) - [j1]Vera Sheinman, Christiane Fellbaum, Isaac Julien, Peter F. Schulam, Takenobu Tokunaga:
Erratum to: Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet. Lang. Resour. Evaluation 47(3): 817-818 (2013) - [c7]Peter Schulam, Roni Rosenfeld, Premkumar T. Devanbu:
Building Statistical Language Models of code. DAPSE@ICSE 2013: 1-3 - [c6]Shourabh Rawat, Peter F. Schulam, Susanne Burger, Duo Ding, Yipei Wang, Florian Metze:
Robust audio-codebooks for large-scale event detection in consumer videos. INTERSPEECH 2013: 2929-2933 - 2012
- [c5]Duo Ding, Florian Metze, Shourabh Rawat, Peter Franz Schulam, Susanne Burger:
Generating Natural Language Summaries for Multimedia. INLG 2012: 128-130 - [c4]Qin Jin, Peter Franz Schulam, Shourabh Rawat, Susanne Burger, Duo Ding, Florian Metze:
Event-based Video Retrieval Using Audio. INTERSPEECH 2012: 2085-2088 - [c3]Duo Ding, Florian Metze, Shourabh Rawat, Peter Franz Schulam, Susanne Burger, Ehsan Younessian, Lei Bao, Michael G. Christel, Alexander G. Hauptmann:
Beyond audio and video retrieval: towards multimedia summarization. ICMR 2012: 2 - [c2]Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Informedia @TRECVID 2012. TRECVID 2012 - 2010
- [c1]Peter F. Schulam, Christiane Fellbaum:
Automatically Determining the Semantic Gradation of German Adjectives. KONVENS 2010: 163-167
Coauthor Index
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