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2020 – today
- 2023
[i12]Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich:
Shortcut Learning Through the Lens of Early Training Dynamics. CoRR abs/2302.09344 (2023)- [i11]Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Manas Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath:
A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR abs/2303.12888 (2023) - 2022
- [c8]Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. CLeaR 2022: 290-301 - [c7]Aahlad Manas Puli, Lily H. Zhang, Eric Karl Oermann, Rajesh Ranganath:
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations. ICLR 2022 - [i10]Neil Jethani, Aahlad Manas Puli, Hao Zhang, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath:
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography. CoRR abs/2205.02900 (2022) - [i9]Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR abs/2208.08579 (2022) - [i8]Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath:
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. CoRR abs/2210.01302 (2022) - 2021
- [c6]Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath:
CONTRA: Contrarian statistics for controlled variable selection. AISTATS 2021: 1900-1908 - [c5]Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath:
Inverse-Weighted Survival Games. NeurIPS 2021: 2160-2172 - [i7]Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
X-CAL: Explicit Calibration for Survival Analysis. CoRR abs/2101.05346 (2021) - [i6]Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
Causal Estimation with Functional Confounders. CoRR abs/2102.08533 (2021) - [i5]Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath:
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. CoRR abs/2107.00520 (2021) - [i4]Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath:
Inverse-Weighted Survival Games. CoRR abs/2111.08175 (2021) - [i3]Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. CoRR abs/2112.00881 (2021) - 2020
- [c4]Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
X-CAL: Explicit Calibration for Survival Analysis. NeurIPS 2020 - [c3]Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
Causal Estimation with Functional Confounders. NeurIPS 2020 - [c2]Aahlad Manas Puli, Rajesh Ranganath:
General Control Functions for Causal Effect Estimation from IVs. NeurIPS 2020
2010 – 2019
- 2019
- [i2]Aahlad Manas Puli, Rajesh Ranganath:
Generalized Control Functions via Variational Decoupling. CoRR abs/1907.03451 (2019) - 2018
- [c1]Nathan Kallus, Aahlad Manas Puli, Uri Shalit:
Removing Hidden Confounding by Experimental Grounding. NeurIPS 2018: 10911-10920 - [i1]Nathan Kallus, Aahlad Manas Puli, Uri Shalit:
Removing Hidden Confounding by Experimental Grounding. CoRR abs/1810.11646 (2018)
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last updated on 2023-04-15 03:00 CEST by the dblp team
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