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. 1711.02582
  4. Cited By
Overlap in Observational Studies with High-Dimensional Covariates

Overlap in Observational Studies with High-Dimensional Covariates

7 November 2017
Alexander DÁmour
Peng Ding
Avi Feller
Lihua Lei
Jasjeet Sekhon
ArXivPDFHTML

Papers citing "Overlap in Observational Studies with High-Dimensional Covariates"

20 / 20 papers shown
Title
Causal mediation analysis with one or multiple mediators: a comparative study
Causal mediation analysis with one or multiple mediators: a comparative study
Judith Abécassis
Houssam Zenati
Sami Boumaïza
Julie Josse
Bertrand Thirion
CML
19
0
0
12 May 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Yang Xiang
Li Fan
Chenke Yin
Menglin Kong
Chengtao Ji
OffRL
42
0
0
22 Feb 2025
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
Jonathan B. Hill
Saraswata Chaudhuri
70
17
0
11 Dec 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
91
8
0
15 Sep 2024
Compositional Models for Estimating Causal Effects
Compositional Models for Estimating Causal Effects
Purva Pruthi
David D. Jensen
CML
65
0
0
25 Jun 2024
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space
  Embedding of Categorical Variables
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee
Hannah H. Chang
CML
18
0
0
22 Aug 2023
Practicality of generalization guarantees for unsupervised domain
  adaptation with neural networks
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
19
1
0
15 Mar 2023
Causal Inference out of Control: Estimating the Steerability of
  Consumption
Causal Inference out of Control: Estimating the Steerability of Consumption
Gary Cheng
Moritz Hardt
Celestine Mendler-Dünner
CML
29
1
0
10 Feb 2023
How to select predictive models for causal inference?
How to select predictive models for causal inference?
M. Doutreligne
Gaël Varoquaux
ELM
CML
24
2
0
01 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
35
11
0
30 Jan 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
14
10
0
16 Jan 2023
BITES: Balanced Individual Treatment Effect for Survival data
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod
Andreas Schäfer
S. Solbrig
R. Lohmayer
W. Gronwald
P. Oefner
T. Beissbarth
Rainer Spang
H. Zacharias
Michael Altenbuchinger
CML
15
22
0
05 Jan 2022
$β$-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap
βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
33
14
0
11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Pengzhou (Abel) Wu
Kenji Fukumizu
BDL
OOD
CML
22
3
0
30 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
30
80
0
08 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
30
234
0
02 Sep 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
13
53
0
08 Mar 2021
Causal Inference of General Treatment Effects using Neural Networks with
  A Diverging Number of Confounders
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
Xiaohong Chen
Y. Liu
Shujie Ma
Zheng-Zhong Zhang
CML
12
11
0
15 Sep 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects
Conformal Inference of Counterfactuals and Individual Treatment Effects
Lihua Lei
Emmanuel J. Candès
CML
8
188
0
11 Jun 2020
The Blessings of Multiple Causes
The Blessings of Multiple Causes
Yixin Wang
David M. Blei
AI4CE
CML
16
282
0
17 May 2018
1