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Learning Representations for Counterfactual Inference

12 May 2016

Papers citing "Learning Representations for Counterfactual Inference"

50 / 403 papers shown

Title
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines Chirag Nagpal Dennis L. Wei B. Vinzamuri Monica Shekhar Sara E. Berger Subhro Das Kush R. Varshney CML 53 25 0 08 May 2019
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data Xin Du Lei Sun W. Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy OOD CML 65 44 0 30 Apr 2019
Active Learning for Decision-Making from Imbalanced Observational Data Iiris Sundin Peter F. Schulam E. Siivola Aki Vehtari Suchi Saria Samuel Kaski OOD CML 61 29 0 10 Apr 2019
Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux Huzefa Rangwala FaML 52 7 0 18 Mar 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 190 16 0 14 Feb 2019
Weighted Tensor Completion for Time-Series Causal Inference Debmalya Mandal David C. Parkes 10 2 0 12 Feb 2019
Cost-Effective Incentive Allocation via Structured Counterfactual Inference Romain Lopez Chenchen Li X. Yan Junwu Xiong Michael I. Jordan Yuan Qi Le Song OffRL 64 17 0 07 Feb 2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 101 135 0 03 Feb 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 134 335 0 30 Jan 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 111 85 0 29 Jan 2019
Learning Interpretable Models with Causal Guarantees Carolyn Kim Osbert Bastani FaML OOD CML 75 17 0 24 Jan 2019
Estimating Causal Effects With Partial Covariates For Clinical Interpretability S. Parbhoo Mario Wieser Volker Roth CML 16 0 0 26 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 121 138 0 15 Nov 2018
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction William Herlands Daniel B. Neill H. Nickisch A. Wilson OOD 62 2 0 28 Oct 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 95 27 0 17 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 187 144 0 15 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 102 111 0 01 Oct 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 186 256 0 26 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 77 169 0 25 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 85 133 0 07 Sep 2018
Robust Counterfactual Inferences using Feature Learning and their Applications A. Mitra Kannan Achan Sushant Kumar CML OffRL 29 0 0 22 Aug 2018
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects Vineeth Rakesh Ruocheng Guo Raha Moraffah Nitin Agarwal Huan Liu CML BDL 74 44 0 09 Aug 2018
Improving pairwise comparison models using Empirical Bayes shrinkage Stephen Ragain A. Peysakhovich J. Ugander 37 6 0 24 Jul 2018
Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates S. Parbhoo Mario Wieser Aleksander Wieczorek Volker Roth CML 64 5 0 06 Jul 2018
A Primer on Causal Analysis Finnian Lattimore Cheng Soon Ong CML 28 7 0 05 Jun 2018
Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu Omer Gottesman Aniruddh Raghu Matthieu Komorowski A. Faisal Finale Doshi-Velez Emma Brunskill OffRL 70 75 0 23 May 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 101 40 0 22 May 2018
Multiple Causal Inference with Latent Confounding Rajesh Ranganath A. Perotte CML 59 50 0 21 May 2018
Uplift Modeling from Separate Labels Ikko Yamane Florian Yger Jamal Atif Masashi Sugiyama 69 21 0 14 Mar 2018
A Minimax Surrogate Loss Approach to Conditional Difference Estimation Siong Thye Goh Cynthia Rudin 42 6 0 10 Mar 2018
Active Learning with Logged Data Songbai Yan Kamalika Chaudhuri T. Javidi 159 27 0 25 Feb 2018
Learning Optimal Policies from Observational Data Onur Atan W. Zame M. Schaar CML OOD OffRL 60 18 0 23 Feb 2018
Learning Weighted Representations for Generalization Across Designs Fredrik D. Johansson Nathan Kallus Uri Shalit David Sontag OOD 83 87 0 23 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 78 77 0 15 Feb 2018
Prophit: Causal inverse classification for multiple continuously valued treatment policies Michael T. Lash Qihang Lin W. Street CML 25 3 0 14 Feb 2018
A Gaussian process framework for overlap and causal effect estimation with high-dimensional covariates D. Ghosh Efrén Cruz-Cortés 29 0 0 09 Jan 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 63 43 0 24 Dec 2017
Extreme Dimension Reduction for Handling Covariate Shift Fulton Wang Cynthia Rudin 43 1 0 29 Nov 2017
Implicit Causal Models for Genome-wide Association Studies Dustin Tran David M. Blei CML 57 43 0 30 Oct 2017
Deep Counterfactual Networks with Propensity-Dropout Ahmed Alaa M. Weisz M. Schaar CML OOD BDL 60 86 0 19 Jun 2017
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform T. T. Pham Yuanyuan Shen 3DV 44 19 0 08 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 240 749 0 24 May 2017
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models Michael T. Lash Jason Slater P. Polgreen Alberto Maria Segre 12 8 0 06 May 2017
Reliable Decision Support using Counterfactual Models Peter F. Schulam Suchi Saria CML OffRL OOD 87 8 0 30 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 304 1,548 0 25 Jan 2017
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features Onur Atan W. Zame Qiaojun Feng M. Schaar OffRL CML 57 13 0 23 Dec 2016
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 92 26 0 24 Oct 2016
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Yanbo Xu Yanxun Xu Suchi Saria CML 128 40 0 18 Aug 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 273 2,406 0 21 Jun 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure Jacob Steinhardt Percy Liang 110 34 0 16 Jun 2016