Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Causal Bandits with Propagating Inference Akihiro Yabe Daisuke Hatano Hanna Sumita Shinji Ito Naonori Kakimura Takuro Fukunaga Ken-ichi Kawarabayashi CML 19 32 0 06 Jun 2018
Importance Sampling Policy Evaluation with an Estimated Behavior Policy Josiah P. Hanna S. Niekum Peter Stone OffRL 8 66 0 04 Jun 2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning Julia Kreutzer Joshua Uyheng Stefan Riezler 30 85 0 27 May 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 26 39 0 22 May 2018
On the Conditional Logic of Simulation Models D. Ibeling Thomas Icard LRM 21 9 0 08 May 2018
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Alex E. White Matthieu Vignes CML 19 5 0 04 May 2018
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback Carolin (Haas) Lawrence Stefan Riezler OffRL 173 57 0 03 May 2018
Offline Evaluation of Ranking Policies with Click Models Shuai Li Yasin Abbasi-Yadkori Branislav Kveton S. Muthukrishnan Vishwa Vinay Zheng Wen CML OffRL 10 65 0 27 Apr 2018
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks John Moore Joel Pfeiffer Kai Wei Rishabh K. Iyer Denis Xavier Charles Ran Gilad-Bachrach Levi Boyles Eren Manavoglu 11 6 0 18 Apr 2018
Can Neural Machine Translation be Improved with User Feedback? Julia Kreutzer Shahram Khadivi E. Matusov Stefan Riezler 19 93 0 16 Apr 2018
Active Learning with Logged Data Songbai Yan Kamalika Chaudhuri T. Javidi 22 27 0 25 Feb 2018
Contextual Bandits with Stochastic Experts Rajat Sen Karthikeyan Shanmugam Nihal Sharma Sanjay Shakkottai 14 10 0 23 Feb 2018
Learning Optimal Policies from Observational Data Onur Atan W. Zame M. Schaar CML OOD OffRL 24 18 0 23 Feb 2018
More Robust Doubly Robust Off-policy Evaluation Mehrdad Farajtabar Yinlam Chow Mohammad Ghavamzadeh OffRL 15 264 0 10 Feb 2018
Offline A/B testing for Recommender Systems Alexandre Gilotte Clément Calauzènes Thomas Nedelec A. Abraham Simon Dollé OffRL 26 219 0 22 Jan 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 23 42 0 24 Dec 2017
Learning by Asking Questions Ishan Misra Ross B. Girshick Rob Fergus M. Hebert Abhinav Gupta Laurens van der Maaten 34 82 0 04 Dec 2017
Counterfactual Learning for Machine Translation: Degeneracies and Solutions Carolin (Haas) Lawrence Pratik Gajane Stefan Riezler OffRL CML 25 8 0 23 Nov 2017
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 314 0 30 Oct 2017
iVQA: Inverse Visual Question Answering Feng Liu Tao Xiang Timothy M. Hospedales Wankou Yang Changyin Sun 39 48 0 10 Oct 2017
On Ensuring that Intelligent Machines Are Well-Behaved Philip S. Thomas Bruno C. da Silva A. Barto Emma Brunskill FaML 8 16 0 17 Aug 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation Carolin (Haas) Lawrence Artem Sokolov Stefan Riezler OffRL 26 34 0 28 Jul 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 35 11 0 26 Jul 2017
Deep Counterfactual Networks with Propensity-Dropout Ahmed Alaa M. Weisz M. Schaar CML OOD BDL 17 86 0 19 Jun 2017
Explaining Transition Systems through Program Induction Svetlin Penkov S. Ramamoorthy 25 5 0 23 May 2017
Balanced Policy Evaluation and Learning Nathan Kallus CML OffRL 14 141 0 21 May 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 35 299 0 10 Apr 2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions Hossein Soleimani Adarsh Subbaswamy Suchi Saria CML 6 23 0 06 Apr 2017
A comparative study of counterfactual estimators Thomas Nedelec Nicolas Le Roux Vianney Perchet OT OffRL 22 10 0 03 Apr 2017
Reliable Decision Support using Counterfactual Models Peter F. Schulam Suchi Saria CML OffRL OOD 23 8 0 30 Mar 2017
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers Aman Agarwal Soumya Basu Tobias Schnabel Thorsten Joachims OffRL 15 68 0 17 Mar 2017
Causal Discovery Using Proxy Variables Mateo Rojas-Carulla Marco Baroni David Lopez-Paz CML 13 15 0 23 Feb 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 32 183 0 09 Feb 2017
Identifying Best Interventions through Online Importance Sampling Rajat Sen Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai 34 72 0 10 Jan 2017
Learning causal effects from many randomized experiments using regularized instrumental variables A. Peysakhovich Dean Eckles CML 18 23 0 04 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 16 12 0 23 Dec 2016
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits Yu Wang Alekh Agarwal Miroslav Dudík OffRL 19 220 0 04 Dec 2016
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed Damien Lefortier Adith Swaminathan Xiaotao Gu Thorsten Joachims Maarten de Rijke OffRL CML 16 43 0 01 Dec 2016
Dialogue Learning With Human-In-The-Loop Jiwei Li Alexander H. Miller S. Chopra MarcÁurelio Ranzato Jason Weston OffRL 227 134 0 29 Nov 2016
Conservative Contextual Linear Bandits Abbas Kazerouni Mohammad Ghavamzadeh Y. Abbasi Benjamin Van Roy 21 98 0 19 Nov 2016
Combining observational and experimental data to find heterogeneous treatment effects A. Peysakhovich Akos Lada CML 17 35 0 08 Nov 2016
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 61 25 0 24 Oct 2016
Tighter bounds lead to improved classifiers Nicolas Le Roux 11 8 0 29 Jun 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 83 2,324 0 21 Jun 2016
Making Contextual Decisions with Low Technical Debt Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford ... Dan Melamed Gal Oshri Oswaldo Ribas S. Sen Alex Slivkins OffRL 23 34 0 13 Jun 2016
Causal Bandits: Learning Good Interventions via Causal Inference Finnian Lattimore Tor Lattimore Mark D. Reid CML 11 160 0 10 Jun 2016
Off-policy evaluation for slate recommendation Adith Swaminathan A. Krishnamurthy Alekh Agarwal Miroslav Dudík John Langford Damien Jose I. Zitouni CML OffRL 11 225 0 16 May 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 722 0 12 May 2016
Causal inference for data-driven debugging and decision making in cloud computing Philipp Geiger Lucian Carata B. Schoelkopf 18 1 0 04 Mar 2016
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 36 370 0 16 Nov 2015