Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal
Models

v1v2v3 (latest)

Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models

International Conference on Machine Learning (ICML), 2019

14 May 2019

ArXiv (abs)PDF HTML

Papers citing "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models"

18 / 118 papers shown

Title
Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu Kaihua Tang Hanwang Zhang Zhiwu Lu Xiansheng Hua Ji-Rong Wen CML 450 473 0 08 Jun 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains James Bannon Bradford T. Windsor Wenbo Song Tao Li CML OOD OffRL 147 22 0 03 Jun 2020
Counterfactual Off-Policy Training for Neural Response Generation Qingfu Zhu Weinan Zhang Ting Liu William Yang Wang OffRL CML 257 3 0 29 Apr 2020
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical DiagnosisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Junfan Lin Keze Wang Ziliang Chen Xiaodan Liang Liang Lin CML 177 8 0 14 Mar 2020
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved ConfoundingNeural Information Processing Systems (NeurIPS), 2020 Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill OffRL 269 69 0 12 Mar 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate ShiftNeural Information Processing Systems (NeurIPS), 2020 Masahiro Kato Masatoshi Uehara Shota Yasui OffRL 194 56 0 26 Feb 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020 Nathan Kallus Angela Zhou OffRL 206 66 0 11 Feb 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential TransitionsInternational Conference on Machine Learning (ICML), 2020 Omer Gottesman Joseph D. Futoma Yao Liu Soanli Parbhoo Leo Anthony Celi Emma Brunskill Finale Doshi-Velez OffRL 416 65 0 10 Feb 2020
Fast Generating A Large Number of Gumbel-Max VariablesThe Web Conference (WWW), 2020 Yiyan Qi Peijie Wang Yuanming Zhang Junzhou Zhao Guangjian Tian X. Guan 71 4 0 02 Feb 2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Joseph D. Futoma M. C. Hughes Finale Doshi-Velez OffRL 268 54 0 13 Jan 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 336 165 0 15 Nov 2019
Triply Robust Off-Policy Evaluation Anqi Liu Hao Liu Anima Anandkumar Yisong Yue OffRL 156 12 0 13 Nov 2019
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systemsNeural Information Processing Systems (NeurIPS), 2019 Robert Osazuwa Ness Kaushal Paneri O. Vitek 94 7 0 06 Nov 2019
A Gibbs sampler for a class of random convex polytopesJournal of the American Statistical Association (JASA), 2019 Pierre E. Jacob Ruobin Gong P. Edlefsen A. Dempster 114 16 0 25 Oct 2019
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic ProgrammingSymposium on Advances in Approximate Bayesian Inference (AABI), 2019 Yura N. Perov L. Graham Kostis Gourgoulias Jonathan G. Richens Ciarán M. Gilligan-Lee Adam Baker Saurabh Johri LRM 208 18 0 17 Oct 2019
Causal Modeling for Fairness in Dynamical SystemsInternational Conference on Machine Learning (ICML), 2019 Elliot Creager David Madras T. Pitassi R. Zemel 145 68 0 18 Sep 2019
Off-Policy Evaluation in Partially Observable EnvironmentsAAAI Conference on Artificial Intelligence (AAAI), 2019 Guy Tennenholtz Shie Mannor Uri Shalit OffRL 200 89 0 09 Sep 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm EvaluationNeural Information Processing Systems (NeurIPS), 2019 Ruibo Tu Kun Zhang Bo Christer Bertilson Hedvig Kjellström Cheng Zhang OOD CML 276 48 0 04 Jun 2019