ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.03203
  4. Cited By
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
ArXivPDFHTML

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

30 / 30 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
46
0
0
07 May 2025
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability
Mingwei Deng
Ville Kyrki
Dominik Baumann
47
0
0
27 Feb 2025
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction
  to Linear Bandits, and Limitations around Unknown Marginals
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
Ziyi Liu
Idan Attias
Daniel M. Roy
CML
34
0
0
01 Jul 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
38
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
28
1
0
13 Feb 2024
Best Arm Identification in Batched Multi-armed Bandit Problems
Best Arm Identification in Batched Multi-armed Bandit Problems
Sheng Cao
Simai He
Ruoqing Jiang
Jin Xu
Hongsong Yuan
22
1
0
21 Dec 2023
Robust Causal Bandits for Linear Models
Robust Causal Bandits for Linear Models
Zirui Yan
Arpan Mukherjee
Burak Varici
A. Tajer
CML
35
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
20
0
0
05 Sep 2023
Functional Causal Bayesian Optimization
Functional Causal Bayesian Optimization
Limor Gultchin
Virginia Aglietti
Alexis Bellot
Silvia Chiappa
CML
35
4
0
10 Jun 2023
Causal Deep Learning
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
26
25
0
03 Mar 2023
Causal Bandits without Graph Learning
Causal Bandits without Graph Learning
Mikhail Konobeev
Jalal Etesami
Negar Kiyavash
CML
15
8
0
26 Jan 2023
Causal Deep Reinforcement Learning Using Observational Data
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CML
OffRL
26
5
0
28 Nov 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
18
23
0
13 Jul 2022
Combinatorial Causal Bandits
Combinatorial Causal Bandits
Shi Feng
Wei Chen
CML
21
13
0
04 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
FaML
OffRL
43
13
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
CML
ELM
31
51
0
07 Feb 2022
Chronological Causal Bandits
Chronological Causal Bandits
Neil Dhir
23
0
0
03 Dec 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
OOD
OffRL
55
15
0
13 Oct 2021
Bandit Algorithms for Precision Medicine
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
66
11
0
10 Aug 2021
Matching a Desired Causal State via Shift Interventions
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang
C. Squires
Caroline Uhler
49
16
0
05 Jul 2021
Causal Markov Decision Processes: Learning Good Interventions
  Efficiently
Causal Markov Decision Processes: Learning Good Interventions Efficiently
Yangyi Lu
A. Meisami
Ambuj Tewari
23
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
22
8
0
17 Dec 2020
Budgeted and Non-budgeted Causal Bandits
Budgeted and Non-budgeted Causal Bandits
V. Nair
Vishakha Patil
Gaurav Sinha
26
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
15
2
0
11 Nov 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
11
11
0
16 Jan 2020
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
22
4
0
30 May 2019
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
39
168
0
25 Sep 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
24
32
0
06 Jun 2018
Estimation Considerations in Contextual Bandits
Estimation Considerations in Contextual Bandits
Maria Dimakopoulou
Zhengyuan Zhou
Susan Athey
Guido Imbens
34
69
0
19 Nov 2017
Identifying Best Interventions through Online Importance Sampling
Identifying Best Interventions through Online Importance Sampling
Rajat Sen
Karthikeyan Shanmugam
A. Dimakis
Sanjay Shakkottai
36
72
0
10 Jan 2017
1