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

Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects

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
Title
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
126
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
82
1
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
74
11
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
54
4
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
44
2
0
18 Jun 2022
Minimax rates for heterogeneous causal effect estimation
Minimax rates for heterogeneous causal effect estimation
Edward H. Kennedy
Sivaraman Balakrishnan
James M. Robins
Larry A. Wasserman
CML
93
31
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
51
6
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 Data
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
CML
109
32
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 Confounding
Andrew Jesson
Sören Mindermann
Y. Gal
Uri Shalit
CML
90
56
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
44
7
0
03 Nov 2020
Towards optimal doubly robust estimation of heterogeneous causal effects
Towards optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
CML
196
328
0
29 Apr 2020
1