ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.00837
  4. Cited By
Minimax rates for heterogeneous causal effect estimation

Minimax rates for heterogeneous causal effect estimation

2 March 2022
Edward H. Kennedy
Sivaraman Balakrishnan
James M. Robins
Larry A. Wasserman
    CML
ArXivPDFHTML

Papers citing "Minimax rates for heterogeneous causal effect estimation"

10 / 10 papers shown
Title
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
39
7
0
07 Jul 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OOD
CML
80
2
0
07 May 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
67
1
0
22 Feb 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect
  Estimation
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
37
9
0
19 Nov 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
35
11
0
06 May 2023
Causal isotonic calibration for heterogeneous treatment effects
Causal isotonic calibration for heterogeneous treatment effects
L. Laan
Ernesto Ulloa-Pérez
M. Carone
Alexander Luedtke
31
11
0
27 Feb 2023
New $\sqrt{n}$-consistent, numerically stable higher-order influence
  function estimators
New n\sqrt{n}n​-consistent, numerically stable higher-order influence function estimators
Lin Liu
Chang Li
28
0
0
16 Feb 2023
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
40
10
0
16 Jan 2023
Off-policy estimation of linear functionals: Non-asymptotic theory for
  semi-parametric efficiency
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
Wenlong Mou
Martin J. Wainwright
Peter L. Bartlett
OffRL
39
11
0
26 Sep 2022
A nonparametric doubly robust test for a continuous treatment effect
A nonparametric doubly robust test for a continuous treatment effect
Charles R. Doss
Guangwei Weng
Lan Wang
I. Moscovice
T. Chantarat
19
2
0
07 Feb 2022
1