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Causal Bandits: Learning Good Interventions via Causal Inference

Causal Bandits: Learning Good Interventions via Causal Inference

10 June 2016
Finnian Lattimore
Tor Lattimore
Mark D. Reid
    CML
ArXiv (abs)PDFHTML

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

50 / 52 papers shown
Title
Estimating Causal Effects in Networks with Cluster-Based Bandits
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
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
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
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
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
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
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
Additive Causal Bandits with Unknown Graph
Alan Malek
Virginia Aglietti
Silvia Chiappa
CML
59
9
0
13 Jun 2023
Functional Causal Bayesian Optimization
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
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
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
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
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CMLOffRL
73
5
0
28 Nov 2022
Model-based Causal Bayesian Optimization
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
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
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
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
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
Uplifting Bandits
Yu-Guan Hsieh
S. Kasiviswanathan
Branislav Kveton
40
1
0
08 Jun 2022
Combinatorial Causal Bandits
Combinatorial Causal Bandits
Shi Feng
Wei Chen
CML
92
13
0
04 Jun 2022
Causal Structure Learning: a Combinatorial Perspective
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
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaMLOffRL
101
15
0
20 May 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Evaluation Methods and Measures for Causal Learning Algorithms
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CMLELM
112
54
0
07 Feb 2022
Chronological Causal Bandits
Chronological Causal Bandits
Neil Dhir
27
0
0
03 Dec 2021
Intervention Efficient Algorithm for Two-Stage Causal MDPs
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
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz
Assaf Hallak
Gal Dalal
Shie Mannor
Gal Chechik
Uri Shalit
OODOffRL
123
16
0
13 Oct 2021
Achieving Counterfactual Fairness for Causal Bandit
Achieving Counterfactual Fairness for Causal Bandit
Wen Huang
Lu Zhang
Xintao Wu
CML
159
22
0
21 Sep 2021
Bandit Algorithms for Precision Medicine
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
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
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
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
Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam
Nikolaj Thams
J. Peters
Niklas Pfister
CMLOffRL
87
15
0
01 Jun 2021
Causal Markov Decision Processes: Learning Good Interventions
  Efficiently
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
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
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
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
Algorithms for Causal Reasoning in Probability Trees
Tim Genewein
Tom McGrath
Grégoire Delétang
Vladimir Mikulik
Miljan Martic
Shane Legg
Pedro A. Ortega
TPMCML
55
16
0
23 Oct 2020
Causal Structure Learning: a Bayesian approach based on random graphs
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
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
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
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
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon
Bradford T. Windsor
Wenbo Song
Tao Li
CMLOODOffRL
73
20
0
03 Jun 2020
Combining Offline Causal Inference and Online Bandit Learning for Data
  Driven Decision
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
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
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
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
CMLLRM
71
122
0
23 Jan 2019
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods
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
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
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
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