Causal Bandits: Learning Good Interventions via Causal Inference

10 June 2016

Papers citing "Causal Bandits: Learning Good Interventions via Causal Inference"

50 / 52 papers shown

Title
Estimating Causal Effects in Networks with Cluster-Based Bandits Ahmed Sayeed Faruk Jason Sulskis Elena Zheleva CML 73 0 0 07 May 2025
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference Fateme Jamshidi Mohammad Shahverdikondori Negar Kiyavash 68 1 0 10 Mar 2025
Asymmetric Graph Error Control with Low Complexity in Causal Bandits Chen Peng Di Zhang Urbashi Mitra CML 84 4 0 20 Aug 2024
Causally Abstracted Multi-armed Bandits Fabio Massimo Zennaro Nicholas Bishop Joel Dyer Yorgos Felekis Anisoara Calinescu Michael Wooldridge Theodoros Damoulas 80 3 0 26 Apr 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 96 1 0 13 Feb 2024
Robust Causal Bandits for Linear Models Zirui Yan Arpan Mukherjee Burak Varici A. Tajer CML 77 4 0 30 Oct 2023
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure K. Hammar Neil Dhir CML 64 0 0 05 Sep 2023
Additive Causal Bandits with Unknown Graph Alan Malek Virginia Aglietti Silvia Chiappa CML 59 9 0 13 Jun 2023
Functional Causal Bayesian Optimization Limor Gultchin Virginia Aglietti Alexis Bellot Silvia Chiappa CML 66 4 0 10 Jun 2023
Learning Good Interventions in Causal Graphs via Covering Ayush Sawarni Rahul Madhavan Gaurav Sinha Siddharth Barman CML 41 4 0 08 May 2023
Causal Bandits without Graph Learning Mikhail Konobeev Jalal Etesami Negar Kiyavash CML 58 8 0 26 Jan 2023
Linear Combinatorial Semi-Bandit with Causally Related Rewards Behzad Nourani-Koliji Saeed Ghoorchian S. Maghsudi CML 69 4 0 25 Dec 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Qiaosheng Zhang CML OffRL 73 5 0 28 Nov 2022
Model-based Causal Bayesian Optimization Scott Sussex A. Makarova Andreas Krause CML 92 25 0 18 Nov 2022
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 109 30 0 10 Sep 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 69 23 0 13 Jul 2022
Combinatorial Pure Exploration of Causal Bandits Nuoya Xiong Wei Chen CML 126 9 0 16 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jinpei Guo Biwei Huang Dacheng Tao 66 20 0 09 Jun 2022
Uplifting Bandits Yu-Guan Hsieh S. Kasiviswanathan Branislav Kveton 40 1 0 08 Jun 2022
Combinatorial Causal Bandits Shi Feng Wei Chen CML 92 13 0 04 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 126 47 0 02 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 101 15 0 20 May 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 112 54 0 07 Feb 2022
Chronological Causal Bandits Neil Dhir 27 0 0 03 Dec 2021
Intervention Efficient Algorithm for Two-Stage Causal MDPs Rahul Madhavan Aurghya Maiti Gaurav Sinha Siddharth Barman 46 1 0 01 Nov 2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz Assaf Hallak Gal Dalal Shie Mannor Gal Chechik Uri Shalit OOD OffRL 123 16 0 13 Oct 2021
Achieving Counterfactual Fairness for Causal Bandit Wen Huang Lu Zhang Xintao Wu CML 159 22 0 21 Sep 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 113 14 0 10 Aug 2021
A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders Aurghya Maiti V. Nair Gaurav Sinha CML 48 16 0 06 Jul 2021
Matching a Desired Causal State via Shift Interventions Jiaqi Zhang C. Squires Caroline Uhler 95 16 0 05 Jul 2021
Causal Bandits with Unknown Graph Structure Yangyi Lu A. Meisami Ambuj Tewari CML 86 45 0 05 Jun 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 87 15 0 01 Jun 2021
Causal Markov Decision Processes: Learning Good Interventions Efficiently Yangyi Lu A. Meisami Ambuj Tewari 57 10 0 15 Feb 2021
The Causal Learning of Retail Delinquency Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Nanbo Peng DongDong Wang Zhixiang Huang CML 68 8 0 17 Dec 2020
Budgeted and Non-budgeted Causal Bandits V. Nair Vishakha Patil Gaurav Sinha 83 41 0 13 Dec 2020
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions Yanbo Xu Divyat Mahajan Liz Manrao Amit Sharma Emre Kıcıman CML 48 2 0 11 Nov 2020
Algorithms for Causal Reasoning in Probability Trees Tim Genewein Tom McGrath Grégoire Delétang Vladimir Mikulik Miljan Martic Shane Legg Pedro A. Ortega TPM CML 55 16 0 23 Oct 2020
Causal Structure Learning: a Bayesian approach based on random graphs Mauricio Gonzalez-Soto Ivan Feliciano-Avelino L. Sucar Hugo Jair Escalante CML 14 0 0 13 Oct 2020
Multi-task Causal Learning with Gaussian Processes Virginia Aglietti Theodoros Damoulas Mauricio A. Alvarez Javier I. González CML 76 18 0 27 Sep 2020
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data Lingxiao Wang Zhuoran Yang Zhaoran Wang OffRL 86 48 0 22 Jun 2020
Bandits with Partially Observable Confounded Data Guy Tennenholtz Uri Shalit Shie Mannor Yonathan Efroni OffRL 69 24 0 11 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 73 20 0 03 Jun 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision Li Ye Yishi Lin Hong Xie John C. S. Lui CML 92 11 0 16 Jan 2020
Towards Optimal and Efficient Best Arm Identification in Linear Bandits Mohammadi Zaki Avinash Mohan Aditya Gopalan 86 12 0 05 Nov 2019
Rarely-switching linear bandits: optimization of causal effects for the real world B. Lansdell Sofia Triantafillou Konrad Paul Kording 55 4 0 30 May 2019
Causal Reasoning from Meta-reinforcement Learning Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrović Pedro A. Ortega David Raposo Edward Hughes Peter W. Battaglia M. Botvinick Z. Kurth-Nelson CML LRM 71 122 0 23 Jan 2019
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 88 168 0 25 Sep 2018
Playing against Nature: causal discovery for decision making under uncertainty Mauricio Gonzalez-Soto L. Sucar Hugo Jair Escalante CML 27 9 0 03 Jul 2018
Causal Bandits with Propagating Inference Akihiro Yabe Daisuke Hatano Hanna Sumita Shinji Ito Naonori Kakimura Takuro Fukunaga Ken-ichi Kawarabayashi CML 62 33 0 06 Jun 2018