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CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes


Jun 04, 2021
James Mullenbach, Yada Pruksachatkun, Sean Adler, Jennifer Seale, Jordan Swartz, T. Greg McKelvey, Hui Dai, Yi Yang, David Sontag

* ACL 2021 

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Regularizing towards Causal Invariance: Linear Models with Proxies


Mar 03, 2021
Michael Oberst, Nikolaj Thams, Jonas Peters, David Sontag


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Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances


Feb 26, 2021
Hunter Lang, Aravind Reddy, David Sontag, Aravindan Vijayaraghavan

* 25 pages, 2 figures, 2 tables. To appear in AISTATS 2021 

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Neural Pharmacodynamic State Space Modeling


Feb 22, 2021
Zeshan Hussain, Rahul G. Krishnan, David Sontag


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Clustering Left-Censored Multivariate Time-Series


Feb 19, 2021
Irene Y. Chen, Rahul G. Krishnan, David Sontag


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Graph cuts always find a global optimum (with a catch)


Nov 07, 2020
Hunter Lang, David Sontag, Aravindan Vijayaraghavan

* 16 pages, 2 figures 

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Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies


Oct 08, 2020
Christina X. Ji, Michael Oberst, Sanjat Kanjilal, David Sontag


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PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming


Aug 07, 2020
Alexander K. Lew, Monica Agrawal, David Sontag, Vikash K. Mansinghka

* Added references; revised abstract 

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Robust Benchmarking for Machine Learning of Clinical Entity Extraction


Jul 31, 2020
Monica Agrawal, Chloe O'Connell, Yasmin Fatemi, Ariel Levy, David Sontag


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Fast, Structured Clinical Documentation via Contextual Autocomplete


Jul 29, 2020
Divya Gopinath, Monica Agrawal, Luke Murray, Steven Horng, David Karger, David Sontag

* Published in Machine Learning for Healthcare 2020 conference 

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Deep Contextual Clinical Prediction with Reverse Distillation


Jul 10, 2020
Rohan S. Kodialam, Rebecca Boiarsky, David Sontag


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Consistent Estimators for Learning to Defer to an Expert


Jun 02, 2020
Hussein Mozannar, David Sontag

* To appear in ICML 2020 

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Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes


Jun 01, 2020
Sooraj Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David Sontag

* To appear at KDD'20 

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Knowledge Base Completion for Constructing Problem-Oriented Medical Records


Apr 27, 2020
James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David Sontag


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Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects


Jan 21, 2020
Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David Sontag


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Estimation of Utility-Maximizing Bounds on Potential Outcomes


Oct 10, 2019
Maggie Makar, Fredrik D. Johansson, John Guttag, David Sontag


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Open Set Medical Diagnosis


Oct 07, 2019
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David Sontag, Xavier Amatriain

* Abbreviated version to appear at Machine Learning for Healthcare (ML4H) Workshop at NeurIPS 2019 

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Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph


Oct 02, 2019
Irene Y. Chen, Monica Agrawal, Steven Horng, David Sontag

* 12 pages, presented at PSB 2020 

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Characterization of Overlap in Observational Studies


Jul 09, 2019
Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel Brat, David Sontag, Kush R. Varshney


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Benefits of Overparameterization in Single-Layer Latent Variable Generative Models


Jun 28, 2019
Rares-Darius Buhai, Andrej Risteski, Yoni Halpern, David Sontag


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Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models


May 17, 2019
Michael Oberst, David Sontag

* To appear in ICML 2019 

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Support and Invertibility in Domain-Invariant Representations


Mar 21, 2019
Fredrik D. Johansson, David Sontag, Rajesh Ranganath


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Overcomplete Independent Component Analysis via SDP


Jan 24, 2019
Anastasia Podosinnikova, Amelia Perry, Alexander Wein, Francis Bach, Alexandre d'Aspremont, David Sontag

* Appears in: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). 21 pages 

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Prototypical Clustering Networks for Dermatological Disease Diagnosis


Nov 07, 2018
Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David Sontag, Xavier Amatriain


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Block Stability for MAP Inference


Oct 12, 2018
Hunter Lang, David Sontag, Aravindan Vijayaraghavan


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Semi-Amortized Variational Autoencoders


Jul 23, 2018
Yoon Kim, Sam Wiseman, Andrew C. Miller, David Sontag, Alexander M. Rush

* ICML 2018 

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Learning Representations for Counterfactual Inference


Jun 06, 2018
Fredrik D. Johansson, Uri Shalit, David Sontag

* Appeared in ICML 2016 

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Evaluating Reinforcement Learning Algorithms in Observational Health Settings


May 31, 2018
Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez


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