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Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment
  Effects
v1v2v3 (latest)

Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects

Neural Information Processing Systems (NeurIPS), 2020
15 February 2020
Zijun Gao
Yanjun Han
    CML
ArXiv (abs)PDFHTML

Papers citing "Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects"

11 / 11 papers shown
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CML
303
0
0
07 Feb 2025
PairNet: Training with Observed Pairs to Estimate Individual Treatment
  Effect
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CMLOOD
321
3
0
06 Jun 2024
Kernel-based off-policy estimation without overlap: Instance optimality
  beyond semiparametric efficiency
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
Wenlong Mou
Peng Ding
Martin J. Wainwright
Peter L. Bartlett
OffRL
280
12
0
16 Jan 2023
Heterogeneous Treatment Effect with Trained Kernels of the
  Nadaraya-Watson Regression
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
A. Konstantinov
Stanislav R. Kirpichenko
Lev V. Utkin
CML
250
6
0
19 Jul 2022
Dynamic and heterogeneous treatment effects with abrupt changes
Dynamic and heterogeneous treatment effects with abrupt changes
Oscar Hernan Madrid Padilla
Yi Yu
CML
144
2
0
18 Jun 2022
Minimax rates for heterogeneous causal effect estimation
Minimax rates for heterogeneous causal effect estimationAnnals of Statistics (Ann. Stat.), 2022
Edward H. Kennedy
Sivaraman Balakrishnan
James M. Robins
Larry A. Wasserman
CML
432
44
0
02 Mar 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit
  Performance
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
Gabriel Okasa
CML
246
12
0
30 Jan 2022
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer
  Treatment-Effects from Observational Data
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational DataNeural Information Processing Systems (NeurIPS), 2021
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
CML
372
39
0
03 Nov 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under
  Hidden Confounding
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden ConfoundingInternational Conference on Machine Learning (ICML), 2021
Andrew Jesson
Sören Mindermann
Y. Gal
Uri Shalit
CML
365
64
0
08 Mar 2021
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep
  Neural Networks
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
Minshuo Chen
Hao Liu
Wenjing Liao
T. Zhao
CMLOODOffRL
178
7
0
03 Nov 2020
Towards optimal doubly robust estimation of heterogeneous causal effects
Towards optimal doubly robust estimation of heterogeneous causal effectsElectronic Journal of Statistics (EJS), 2020
Edward H. Kennedy
CML
825
445
0
29 Apr 2020
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