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Aahlad Puli

Showing results (1-10 of 9) with videos related to

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Advances in Neural Information Processing Systems|May 6, 2021
General Control Functions for Causal Effect Estimation from Instrumental VariablesAahlad Puli, Rajesh Ranganath
Advances in Neural Information Processing Systems|May 6, 2021
Causal Estimation with Functional ConfoundersAahlad Puli, Adler J Perotte, Rajesh Ranganath
Proceedings of Machine Learning Research|September 8, 2023
DIET: Conditional independence testing with marginal dependence measures of residual informationMukund Sudarshan, Aahlad Puli, Wesley Tansey, et al.
Transactions on Machine Learning Research|April 22, 2024
Beyond Distribution Shift: Spurious Features Through the Lens of Training DynamicsNihal Murali, Aahlad Puli, Ke Yu, et al.
Proceedings of Machine Learning Research|September 15, 2021
Contra: Contrarian statistics for controlled variable selectionMukund Sudarshan, Aahlad Puli, Lakshmi Subramanian, et al.
Advances in Neural Information Processing Systems|May 21, 2021
X-CAL: Explicit Calibration for Survival AnalysisMark Goldstein, Xintian Han, Aahlad Puli, et al.
Advances in Neural Information Processing Systems|July 21, 2022
Inverse-Weighted Survival GamesXintian Han, Mark Goldstein, Aahlad Puli, et al.
Proceedings of Machine Learning Research|August 30, 2023
Learning Invariant Representations with Missing DataMark Goldstein, Aahlad Puli, Rajesh Ranganath, et al.
European Heart Journal. Acute Cardiovascular Care|March 22, 2024
Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learningYuxuan Hu, Albert Lui, Mark Goldstein, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Advances in Neural Information Processing Systems|May 6, 2021
General Control Functions for Causal Effect Estimation from Instrumental VariablesAahlad Puli, Rajesh Ranganath
Advances in Neural Information Processing Systems|May 6, 2021
Causal Estimation with Functional ConfoundersAahlad Puli, Adler J Perotte, Rajesh Ranganath
Proceedings of Machine Learning Research|September 8, 2023
DIET: Conditional independence testing with marginal dependence measures of residual informationMukund Sudarshan, Aahlad Puli, Wesley Tansey, et al.
Transactions on Machine Learning Research|April 22, 2024
Beyond Distribution Shift: Spurious Features Through the Lens of Training DynamicsNihal Murali, Aahlad Puli, Ke Yu, et al.
Proceedings of Machine Learning Research|September 15, 2021
Contra: Contrarian statistics for controlled variable selectionMukund Sudarshan, Aahlad Puli, Lakshmi Subramanian, et al.
Advances in Neural Information Processing Systems|May 21, 2021
X-CAL: Explicit Calibration for Survival AnalysisMark Goldstein, Xintian Han, Aahlad Puli, et al.
Advances in Neural Information Processing Systems|July 21, 2022
Inverse-Weighted Survival GamesXintian Han, Mark Goldstein, Aahlad Puli, et al.
Proceedings of Machine Learning Research|August 30, 2023
Learning Invariant Representations with Missing DataMark Goldstein, Aahlad Puli, Rajesh Ranganath, et al.
European Heart Journal. Acute Cardiovascular Care|March 22, 2024
Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learningYuxuan Hu, Albert Lui, Mark Goldstein, et al.
Pageof 1