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ORCIDDavid A. Sontag
- > Home > Persons > David A. Sontag
Publications
- 2022
[j8]Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag:
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. J. Mach. Learn. Res. 23: 166:1-166:50 (2022)- [c85]Rickard K. A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik Johansson:
Using time-series privileged information for provably efficient learning of prediction models. AISTATS 2022: 5459-5484 - 2021
- [i53]Rickard Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik D. Johansson:
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models. CoRR abs/2110.14993 (2021) - 2020
- [c66]Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. AISTATS 2020: 788-798 - [c64]Maggie Makar, Fredrik D. Johansson, John V. Guttag
, David A. Sontag:
Estimation of Bounds on Potential Outcomes For Decision Making. ICML 2020: 6661-6671 - [i50]Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag:
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. CoRR abs/2001.07426 (2020) - 2019
- [c56]Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath:
Support and Invertibility in Domain-Invariant Representations. AISTATS 2019: 527-536 - [i39]Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath:
Support and Invertibility in Domain-Invariant Representations. CoRR abs/1903.03448 (2019) - [i36]Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. CoRR abs/1907.04138 (2019) - [i33]Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag:
Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR abs/1910.04817 (2019) - 2018
- [c50]Irene Y. Chen, Fredrik D. Johansson, David A. Sontag:
Why Is My Classifier Discriminatory? NeurIPS 2018: 3543-3554 - [i31]Irene Y. Chen, Fredrik D. Johansson, David A. Sontag:
Why Is My Classifier Discriminatory? CoRR abs/1805.12002 (2018) - [i30]Omer Gottesman, Fredrik D. 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, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR abs/1805.12298 (2018) - 2017
- [c43]Uri Shalit, Fredrik D. Johansson, David A. Sontag:
Estimating individual treatment effect: generalization bounds and algorithms. ICML 2017: 3076-3085 - 2016
- [c35]Fredrik D. Johansson, Uri Shalit, David A. Sontag:
Learning Representations for Counterfactual Inference. ICML 2016: 3020-3029 - [i23]Fredrik D. Johansson, Uri Shalit, David A. Sontag:
Learning Representations for Counterfactual Inference. CoRR abs/1605.03661 (2016) - [i21]Uri Shalit, Fredrik D. Johansson, David A. Sontag:
Bounding and Minimizing Counterfactual Error. CoRR abs/1606.03976 (2016)
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