Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items E. Gordon Xiang Meng Matt Barnes Tapomayukh Bhattacharjee S. Srinivasa OffRL OnRL 13 45 0 19 Aug 2019
Policy Evaluation with Latent Confounders via Optimal Balance Andrew Bennett Nathan Kallus CML 22 18 0 06 Aug 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 33 2 0 26 Jul 2019
On the Value of Bandit Feedback for Offline Recommender System Evaluation Olivier Jeunen D. Rohde Flavian Vasile OffRL 14 10 0 26 Jul 2019
Off-policy Learning for Multiple Loggers Li He Long Xia Wei Zeng Zhi-Ming Ma Yue Zhao Dawei Yin OffRL 15 10 0 23 Jul 2019
Doubly robust off-policy evaluation with shrinkage Yi-Hsun Su Maria Dimakopoulou A. Krishnamurthy Miroslav Dudík OffRL 19 104 0 22 Jul 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 22 194 0 22 Jul 2019
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction S. Ktena Alykhan Tejani Lucas Theis Pranay K. Myana D. Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi NoLa 19 52 0 15 Jul 2019
Exploration by Optimisation in Partial Monitoring Tor Lattimore Csaba Szepesvári 33 38 0 12 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 38 69 0 10 Jul 2019
On Open-Universe Causal Reasoning D. Ibeling Thomas Icard LRM AI4CE 23 8 0 04 Jul 2019
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations Rohan R. Paleja Andrew Silva Letian Chen Matthew C. Gombolay 30 31 0 14 Jun 2019
Distributionally Robust Counterfactual Risk Minimization Louis Faury Ugo Tanielian Flavian Vasile E. Smirnova Elvis Dohmatob 28 45 0 14 Jun 2019
Issues with post-hoc counterfactual explanations: a discussion Thibault Laugel Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 107 44 0 11 Jun 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling Tengyang Xie Yifei Ma Yu Wang OffRL 46 178 0 08 Jun 2019
Empirical Likelihood for Contextual Bandits Nikos Karampatziakis John Langford Paul Mineiro OffRL 23 9 0 07 Jun 2019
The Label Complexity of Active Learning from Observational Data Songbai Yan Kamalika Chaudhuri T. Javidi 14 9 0 29 May 2019
Privacy-Preserving Causal Inference via Inverse Probability Weighting Si Kai Lee Luigi Gresele Mijung Park Krikamol Muandet 17 10 0 29 May 2019
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances Diane Bouchacourt Marco Baroni 21 22 0 28 May 2019
Spatial Positioning Token (SPToken) for Smart Mobility R. Overko Rodrigo H. Ordóñez-Hurtado Sergiy Zhuk P. Ferraro Andrew Cullen Robert Shorten 25 15 0 16 May 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 12 29 0 10 Apr 2019
Robust Multi-agent Counterfactual Prediction A. Peysakhovich Christian Kroer Adam Lerer 27 11 0 03 Apr 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation Benjamin Letham E. Bakshy OffRL 27 56 0 01 Apr 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 28 16 0 14 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 28 5 0 08 Feb 2019
Computing large market equilibria using abstractions Christian Kroer A. Peysakhovich Eric Sodomka Nicolas Stier-Moses 28 31 0 18 Jan 2019
Imitation-Regularized Offline Learning Yifei Ma Yu Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 14 22 0 15 Jan 2019
Gradient Regularized Budgeted Boosting Z. Xu Matt J. Kusner Kilian Q. Weinberger A. Zheng 19 2 0 13 Jan 2019
Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling R. Cotta Mingyang Hu Dan Jiang Peizhou Liao OffRL 11 6 0 04 Jan 2019
The Music Streaming Sessions Dataset B. Brost Rishabh Mehrotra T. Jehan 21 74 0 31 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 33 474 0 06 Dec 2018
A Survey on Semantic Parsing Aishwarya Kamath Rajarshi Das 22 117 0 03 Dec 2018
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing Carolin (Haas) Lawrence Stefan Riezler OffRL 15 7 0 29 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 37 135 0 15 Nov 2018
Explaining Deep Learning Models using Causal Inference Tanmayee Narendra A. Sankaran Deepak Vijaykeerthy Senthil Mani CML 26 52 0 11 Nov 2018
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning Yi-Hsun Su Lequn Wang Michele Santacatterina Mohsen Guizani CML OffRL 8 6 0 06 Nov 2018
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R Sayed Chhattan Shah M. Kaptein CML 24 8 0 06 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 30 139 0 01 Nov 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation Qiang Liu Lihong Li Ziyang Tang Dengyong Zhou OffRL 18 350 0 29 Oct 2018
Software Engineering Challenges of Deep Learning Anders Arpteg B. Brinne L. Crnkovic-Friis J. Bosch 30 174 0 29 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 37 168 0 25 Sep 2018
LensKit for Python: Next-Generation Software for Recommender System Experiments Michael D. Ekstrand VLM 14 79 0 10 Sep 2018
Efficient Counterfactual Learning from Bandit Feedback Yusuke Narita Shota Yasui Kohei Yata OffRL 16 47 0 10 Sep 2018
Robust Counterfactual Inferences using Feature Learning and their Applications A. Mitra Kannan Achan Sushant Kumar CML OffRL 13 0 0 22 Aug 2018
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace Murat Ali Bayir Mingsen Xu Yaojia Zhu Yifan Shi OffRL 13 10 0 22 Aug 2018
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy Yuan Xie Boyi Liu Qiang Liu Zhaoran Wang Yuanshuo Zhou Jian-wei Peng OffRL 9 19 0 01 Aug 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 29 288 0 09 Jul 2018
Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates S. Parbhoo Mario Wieser Aleksander Wieczorek Volker Roth CML 20 5 0 06 Jul 2018
Bayesian Counterfactual Risk Minimization Ben London Ted Sandler OffRL 11 30 0 29 Jun 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 24 620 0 25 Jun 2018