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Causal Effect Inference with Deep Latent-Variable Models
v1v2 (latest)

Causal Effect Inference with Deep Latent-Variable Models

24 May 2017
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
    CMLBDL
ArXiv (abs)PDFHTML

Papers citing "Causal Effect Inference with Deep Latent-Variable Models"

50 / 441 papers shown
Text Rationalization for Robust Causal Effect Estimation
Text Rationalization for Robust Causal Effect Estimation
Lijinghua Zhang
Hengrui Cai
CML
237
0
0
05 Dec 2025
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
Yijia Fan
Jusheng Zhang
Kaitong Cai
Jing Yang
Keze Wang
106
0
0
30 Nov 2025
Learning Subgroups with Maximum Treatment Effects without Causal Heuristics
Learning Subgroups with Maximum Treatment Effects without Causal Heuristics
Lincen Yang
Zhong Li
M. Leeuwen
Saber Salehkaleybar
CML
183
0
0
25 Nov 2025
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
Jing Pan
Li Shi
Paul Lo
CML
324
0
0
25 Nov 2025
Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
Chenhao Zhai
Chang Meng
Xueliang Wang
Shuchang Liu
Xiaolong Hu
Shisong Tang
Xiaoqiang Feng
Xiu Li
OffRL
329
2
0
24 Nov 2025
Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT
Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT
Y. Liu
Hao Li
Haiyu Xu
Baoqi Pei
Jiahao Wang
...
Zheqi He
JG Yao
Bowen Qin
Xi Yang
J. Zhang
OffRL
424
0
0
21 Nov 2025
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Aswin Arun
Christo Kurisummoottil Thomas
Rimalpudi Sarvendranath
Walid Saad
290
0
0
13 Nov 2025
Multiple Treatments Causal Effects Estimation with Task Embeddings and Balanced Representation Learning
Multiple Treatments Causal Effects Estimation with Task Embeddings and Balanced Representation Learning
Yuki Murakami
Takumi Hattori
Kohsuke Kubota
CMLBDL
184
0
0
12 Nov 2025
Transferring Causal Effects using Proxies
Transferring Causal Effects using Proxies
Manuel Iglesias-Alonso
Felix Schur
Julius von Kügelgen
Jonas Peters
133
0
0
29 Oct 2025
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
Harry Amad
Zhaozhi Qian
Dennis Frauen
Julianna Piskorz
Stefan Feuerriegel
Mihaela van der Schaar
CML
269
3
0
21 Oct 2025
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
Jiayi Guo
Haoxuan Li
Ye Tian
Peng Wu
180
1
0
18 Oct 2025
Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Joseph Ramsey
Bryan Andrews
Peter Spirtes
CML
229
1
0
05 Oct 2025
Causally-Informed Reinforcement Learning for Adaptive Emotion-Aware Social Media Recommendation
Causally-Informed Reinforcement Learning for Adaptive Emotion-Aware Social Media Recommendation
Bhavika Jain
Robert Pitsko
Ananya Drishti
Mahfuza Farooque
103
0
0
01 Oct 2025
Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image SynthesisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Tian Xia
Matthew Sinclair
A. Schuh
Fabio De Sousa Ribeiro
Raghav Mehta
...
Esther Puyol-Antón
Samuel Gerber
K. Petersen
M. Schaap
Ben Glocker
CMLMedIm
275
1
0
29 Sep 2025
ActiveCQ: Active Estimation of Causal Quantities
ActiveCQ: Active Estimation of Causal Quantities
Erdun Gao
Dino Sejdinovic
120
1
0
29 Sep 2025
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng
Ming-Yu Chung
Dhanajit Brahma
Ricardo Henao
Lawrence Carin
CML
321
0
0
29 Sep 2025
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
Valentyn Melnychuk
Stefan Feuerriegel
123
0
0
26 Sep 2025
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
Amirmohammad Farzaneh
Matteo Zecchin
Osvaldo Simeone
190
0
0
04 Sep 2025
Causal Sensitivity Identification using Generative Learning
Causal Sensitivity Identification using Generative Learning
Soma Bandyopadhyay
Sudeshna Sarkar
CML
179
0
0
01 Sep 2025
Latent Variable Modeling for Robust Causal Effect Estimation
Latent Variable Modeling for Robust Causal Effect Estimation
Tetsuro Morimura
Tatsushi Oka
Yugo Suzuki
Daisuke Moriwaki
CML
200
0
0
27 Aug 2025
Structure Maintained Representation Learning Neural Network for Causal Inference
Structure Maintained Representation Learning Neural Network for Causal Inference
Yang Sun
Wenbin Lu
Yi-Hui Zhou
OODCML
155
0
0
03 Aug 2025
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Linying Yang
Robin J. Evans
Xinwei Shen
OOD
211
1
0
01 Aug 2025
KLAN: Kuaishou Landing-page Adaptive Navigator
KLAN: Kuaishou Landing-page Adaptive Navigator
Fan Li
Chang Meng
Jiaqi Fu
Shuchang Liu
Jiashuo Zhang
Tianke Zhang
Xueliang Wang
Xiaoqiang Feng
291
1
0
31 Jul 2025
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
Byunghee Lee
Hye Yeon Sin
Joonsung Kang
CML
178
0
0
11 Jul 2025
DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
Max Ku
S. Sun
Ziqiao Wang
Wenhu Chen
262
0
0
17 Jun 2025
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
Vahid Balazadeh
Hamidreza Kamkari
Valentin Thomas
Benson Li
Junwei Ma
Jesse C. Cresswell
Rahul G. Krishnan
CML
262
19
0
09 Jun 2025
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Geetika
Somya Tyagi
Bapi Chatterjee
FedML
241
0
0
27 May 2025
When Shift Happens - Confounding Is to Blame
When Shift Happens - Confounding Is to Blame
Abbavaram Gowtham Reddy
Celia Rubio-Madrigal
R. Burkholz
Krikamol Muandet
OOD
356
3
0
27 May 2025
Density Ratio-Free Doubly Robust Proxy Causal Learning
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt
Houssam Zenati
Dimitri Meunier
Liyuan Xu
Arthur Gretton
238
0
0
26 May 2025
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Prateek Jaiswal
Esmaeil Keyvanshokooh
Junyu Cao
294
0
0
22 May 2025
Flow-based Generative Modeling of Potential Outcomes and Counterfactuals
Flow-based Generative Modeling of Potential Outcomes and Counterfactuals
Dongze Wu
David I. Inouye
Yao Xie
409
1
0
21 May 2025
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Dennis Frauen
Maresa Schröder
Konstantin Hess
Stefan Feuerriegel
CML
299
6
0
19 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Marin Šola
Peter Bühlmann
Xinwei Shen
OOD
425
3
0
19 May 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen
Tong Chen
Mingming Gong
Li Kheng Chai
S. Sadiq
Hongzhi Yin
CML
349
4
0
08 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Ruichu Cai
Junjie Wan
Weilin Chen
Zeqin Yang
Zijian Li
Peng Zhen
Jiecheng Guo
CML
580
2
0
08 May 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Praharsh Nanavati
Ranjitha Prasad
Karthikeyan Shanmugam
OODCML
311
0
0
29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
Hangtao Zhang
Zhe Li
Jianchao Tan
567
0
0
26 Apr 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
Roger Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
1.0K
2
0
15 Apr 2025
DeCaFlow: A deconfounding causal generative model
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
422
2
0
19 Mar 2025
The Hardness of Validating Observational Studies with Experimental Data
The Hardness of Validating Observational Studies with Experimental DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Jake Fawkes
Michael O'Riordan
Athanasios Vlontzos
Oriol Corcoll
Ciarán M. Gilligan-Lee
365
5
0
19 Mar 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
Tao Feng
Yunke Zhang
Huandong Wang
Yong Li
957
1
0
09 Mar 2025
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder
Andreas Sauter
Saber Salehkaleybar
Aske Plaat
Erman Acar
CML
391
3
0
03 Mar 2025
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
Weilin Chen
Ruichu Cai
Jie Qiao
Yuguang Yan
José Miguel Hernández-Lobato
CML
414
2
0
27 Feb 2025
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal TransportabilityCLEaR (CLEaR), 2025
Mingwei Deng
Ville Kyrki
Dominik Baumann
371
4
0
27 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Weilin Chen
Ruichu Cai
Junjie Wan
Zeqin Yang
José Miguel Hernández-Lobato
442
2
0
26 Feb 2025
Policy Learning with a Natural Language Action Space: A Causal Approach
Policy Learning with a Natural Language Action Space: A Causal Approach
Bohan Zhang
Yixin Wang
Paramveer S. Dhillon
CML
256
0
0
24 Feb 2025
Your Assumed DAG is Wrong and Here's How To Deal With It
Your Assumed DAG is Wrong and Here's How To Deal With ItCLEaR (CLEaR), 2025
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
486
1
0
24 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
356
4
0
10 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor
Pietro Liò
G. Dias
Mohammed Hasanuzzaman
297
3
0
28 Jan 2025
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
Abhishek Dalvi
Neil Ashtekar
V. Honavar
CML
137
1
0
27 Jan 2025
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