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Eric Tchetgen Tchetgen
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2020 – today
- 2024
- [c4]Jizhou Liu, Eric Tchetgen Tchetgen, Carlos Varjão:
Proximal Causal Inference for Synthetic Control with Surrogates. AISTATS 2024: 730-738 - 2023
- [j3]Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen:
The Proximal ID Algorithm. J. Mach. Learn. Res. 24: 188:1-188:46 (2023) - 2022
- [j2]Baoluo Sun, Yifan Cui, Eric Tchetgen Tchetgen:
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable. J. Mach. Learn. Res. 23: 204:1-204:40 (2022) - [c3]AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen:
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference. AISTATS 2022: 7210-7239 - [c2]Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman:
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. ICML 2022: 1313-1326 - [c1]Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen:
Validating Causal Inference Methods. ICML 2022: 17346-17358 - [i4]Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen:
Evaluating Causal Inference Methods. CoRR abs/2202.04208 (2022) - 2021
- [j1]Lin Liu, Rajarshi Mukherjee, James M. Robins, Eric Tchetgen Tchetgen:
Adaptive estimation of nonparametric functionals. J. Mach. Learn. Res. 22: 99:1-99:66 (2021) - [i3]AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen:
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals. CoRR abs/2104.02929 (2021) - [i2]Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman:
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. CoRR abs/2107.13068 (2021) - [i1]Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen:
The Proximal ID Algorithm. CoRR abs/2108.06818 (2021)
Coauthor Index
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