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Quasi-Oracle Estimation of Heterogeneous Treatment Effects
v1v2v3v4 (latest)

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

13 December 2017
Xinkun Nie
Stefan Wager
    CML
ArXiv (abs)PDFHTML

Papers citing "Quasi-Oracle Estimation of Heterogeneous Treatment Effects"

50 / 275 papers shown
Title
Regression Adjustment for Estimating Distributional Treatment Effects in
  Randomized Controlled Trials
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
Tatsushi Oka
Shota Yasui
Yuta Hayakawa
Undral Byambadalai
18
2
0
19 Jul 2024
Causal Inference with Complex Treatments: A Survey
Causal Inference with Complex Treatments: A Survey
Yingrong Wang
Haoxuan Li
Minqin Zhu
Anpeng Wu
Ruoxuan Xiong
Leilei Gan
Kun Kuang
CML
91
1
0
19 Jul 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing
  Optimization
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
Hao Zhou
Rongxiao Huang
Shaoming Li
Guibin Jiang
Jiaqi Zheng
Bing Cheng
Wei Lin
70
4
0
18 Jul 2024
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
158
7
0
07 Jul 2024
Robust CATE Estimation Using Novel Ensemble Methods
Robust CATE Estimation Using Novel Ensemble Methods
Oshri Machluf
Tzviel Frostig
Gal Shoham
T. Milo
Elad Berkman
Raviv Pryluk
CML
90
0
0
04 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment
  Effect Estimation
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Yuan Shen
Jiajun Fan
Zhaoran Liu
Degui Yang
Xinggao Liu
Haoxuan Li
81
0
0
01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction
Improve ROI with Causal Learning and Conformal Prediction
Meng Ai
Zhuo Chen
Jibin Wang
Jing Shang
Tao Tao
Zhen Li
90
1
0
01 Jul 2024
Causal Responder Detection
Causal Responder Detection
Tzviel Frostig
Oshri Machluf
Amitay Kamber
Elad Berkman
Raviv Pryluk
CML
43
1
0
25 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future
  Prospectives
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng Li
Jundong Li
CML
71
3
0
20 Jun 2024
Orthogonalized Estimation of Difference of $Q$-functions
Orthogonalized Estimation of Difference of QQQ-functions
Angela Zhou
89
0
0
12 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
Samuel Tan
P. Frazier
60
0
0
12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments
  and Observational Data
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu
Nathan Kallus
CML
67
0
0
10 Jun 2024
Heterogeneous Treatment Effects in Panel Data
Heterogeneous Treatment Effects in Panel Data
R. Levi
Elisabeth Paulson
Georgia Perakis
Emily Zhang
CML
65
0
0
09 Jun 2024
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
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
100
7
0
04 Jun 2024
Orthogonal Causal Calibration
Orthogonal Causal Calibration
Justin Whitehouse
Christopher Jung
Vasilis Syrgkanis
Bryan Wilder
Zhiwei Steven Wu
CML
176
1
0
04 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect
  Estimation
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
Yinjun Wu
Mayank Keoliya
Kan Chen
Neelay Velingker
Ziyang Li
E. Getzen
Qi Long
Mayur Naik
Ravi B. Parikh
Eric Wong
101
3
0
02 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing
Benchmarking for Deep Uplift Modeling in Online Marketing
Dugang Liu
Xing Tang
Yang Qiao
Miao Liu
Zexu Sun
Xiuqiang He
Zhong Ming
62
1
0
01 Jun 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates
  of Multiple Estimators
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie
Yash Chandak
Christina J. Yuan
Anirudhan Badrinath
Yannis Flet-Berliac
Emma Brunskil
OffRL
99
0
0
27 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and
  Sensitivity Analysis
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
Daniel Csillag
C. Struchiner
G. Goedert
OODCML
74
2
0
15 May 2024
Neural Networks with Causal Graph Constraints: A New Approach for
  Treatment Effects Estimation
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation
Roger Pros
Jordi Vitrià
CML
90
0
0
18 Apr 2024
Bounding Causal Effects with Leaky Instruments
Bounding Causal Effects with Leaky Instruments
David S. Watson
Jordan Penn
L. Gunderson
Gecia Bravo Hermsdorff
Afsaneh Mastouri
Ricardo M. A. Silva
CML
56
1
0
05 Apr 2024
A Causal Analysis of CO2 Reduction Strategies in Electricity Markets
  Through Machine Learning-Driven Metalearners
A Causal Analysis of CO2 Reduction Strategies in Electricity Markets Through Machine Learning-Driven Metalearners
Iman Emtiazi Naeini
Zahra Saberi
Khadijeh Hassanzadeh
26
0
0
21 Mar 2024
Sample size planning for conditional counterfactual mean estimation with
  a K-armed randomized experiment
Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment
Gabriel Ruiz
55
0
0
06 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average
  Treatment Effects
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
Masahiro Kato
CML
70
1
0
05 Mar 2024
Calibrating doubly-robust estimators with unbalanced treatment
  assignment
Calibrating doubly-robust estimators with unbalanced treatment assignment
Daniele Ballinari
24
1
0
03 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference
  Models
Unveiling the Potential of Robustness in Evaluating Causal Inference Models
Yiyan Huang
Cheuk Hang Leung
Siyi Wang
Yijun Li
Qi Wu
OODCML
76
0
0
28 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CMLFedML
94
2
0
27 Feb 2024
Causal hybrid modeling with double machine learning
Causal hybrid modeling with double machine learning
Kai-Hendrik Cohrs
Gherardo Varando
Nuno Carvalhais
Markus Reichstein
Gustau Camps-Valls
128
5
0
20 Feb 2024
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Jef Jonkers
Jarne Verhaeghe
Glenn Van Wallendael
Luc Duchateau
Sofie Van Hoecke
458
2
0
07 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
79
17
0
06 Feb 2024
Individualized Multi-Treatment Response Curves Estimation using RBF-net
  with Shared Neurons
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
Peter Chang
Arkaprava Roy
CML
34
1
0
29 Jan 2024
M$^3$TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment
  Network for Uplift Modeling
M3^33TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
Zexu Sun
Xu Chen
60
3
0
24 Jan 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data
Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu
Yining Qi
Shuang Wang
Zhiming He
Wenchao Xu
Jialiang Zhu
Fan Yang
CML
62
3
0
04 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
LRMELM
119
13
0
30 Dec 2023
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation
  with Gaussian-Process-Based Partially Linear Model
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Shunsuke Horii
Yoichi Chikahara
64
4
0
16 Dec 2023
Instrumental Variable Estimation for Causal Inference in Longitudinal
  Data with Time-Dependent Latent Confounders
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Wentao Gao
T. Le
CML
93
6
0
12 Dec 2023
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
Easton K. Huch
Jieru Shi
Madeline R Abbott
J. Golbus
Alexander Moreno
Walter Dempsey
OffRL
55
0
0
11 Dec 2023
Disentangled Latent Representation Learning for Tackling the Confounding
  M-Bias Problem in Causal Inference
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
Debo Cheng
Yang Xie
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Yinghao Zhang
Zaiwen Feng
CMLBDL
60
1
0
08 Dec 2023
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
91
10
0
19 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable
  modeling
Estimating treatment effects from single-arm trials via latent-variable modeling
Manuel Haussmann
Tran Minh Son Le
Viivi Halla-aho
Samu Kurki
Jussi Leinonen
Miika Koskinen
Samuel Kaski
Harri Lähdesmäki
CML
102
0
0
06 Nov 2023
High Precision Causal Model Evaluation with Conditional Randomization
High Precision Causal Model Evaluation with Conditional Randomization
Chao Ma
Cheng Zhang
CML
49
1
0
03 Nov 2023
Personalized Assignment to One of Many Treatment Arms via Regularized
  and Clustered Joint Assignment Forests
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
Rahul Ladhania
Jann Spiess
Lyle Ungar
Wenbo Wu
CML
45
1
0
01 Nov 2023
Optimal Transport for Treatment Effect Estimation
Optimal Transport for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OTCML
82
38
0
27 Oct 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with
  High-Dimensional Linear Regression
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato
Masaaki Imaizumi
CML
68
2
0
25 Oct 2023
Causal Q-Aggregation for CATE Model Selection
Causal Q-Aggregation for CATE Model Selection
Hui Lan
Vasilis Syrgkanis
CML
107
4
0
25 Oct 2023
Transparency challenges in policy evaluation with causal machine
  learning -- improving usability and accountability
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability
Patrick Rehill
Nicholas Biddle
CMLELM
81
4
0
20 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CMLOOD
216
2
0
16 Oct 2023
Positivity-free Policy Learning with Observational Data
Positivity-free Policy Learning with Observational Data
Pan Zhao
Antoine Chambaz
Julie Josse
Shu Yang
97
6
0
10 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature
  Desensitization
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
Zexu Sun
Bowei He
Ming Ma
Jiakai Tang
Yuchen Wang
Chen Ma
Dugang Liu
69
4
0
07 Oct 2023
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