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. 1705.00998
  4. Cited By
Minimal Dispersion Approximately Balancing Weights: Asymptotic
  Properties and Practical Considerations

Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations

2 May 2017
Yixin Wang
J. Zubizarreta
ArXivPDFHTML

Papers citing "Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations"

9 / 9 papers shown
Title
Stabilized Inverse Probability Weighting via Isotonic Calibration
Stabilized Inverse Probability Weighting via Isotonic Calibration
L. Laan
Ziming Lin
M. Carone
Alex Luedtke
49
2
0
10 Nov 2024
Scalable kernel balancing weights in a nationwide observational study of
  hospital profit status and heart attack outcomes
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Kwangho Kim
B. Niknam
J. Zubizarreta
29
2
0
01 Nov 2023
An empirical process framework for covariate balance in causal inference
An empirical process framework for covariate balance in causal inference
Efrén Cruz-Cortés
K. Josey
Fan Yang
Debashis Ghosh
16
0
0
02 Jan 2023
A Review of Off-Policy Evaluation in Reinforcement Learning
A Review of Off-Policy Evaluation in Reinforcement Learning
Masatoshi Uehara
C. Shi
Nathan Kallus
OffRL
43
69
0
13 Dec 2022
Estimating causal effects with optimization-based methods: A review and
  empirical comparison
Estimating causal effects with optimization-based methods: A review and empirical comparison
Martin Cousineau
V. Verter
Susan Murphy
J. Pineau
CML
27
9
0
28 Feb 2022
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CML
FedML
CVBM
34
32
0
17 Dec 2021
Optimal transport weights for causal inference
Optimal transport weights for causal inference
Eric A. Dunipace
CML
OT
28
9
0
05 Sep 2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule
  Learning for a Target Population
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Rui Chen
J. Huling
Guanhua Chen
Menggang Yu
CML
8
1
0
03 May 2021
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
201
749
0
04 Apr 2008
1