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A Causal Bandit Approach to Learning Good Atomic Interventions in
  Presence of Unobserved Confounders
v1v2 (latest)

A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders

6 July 2021
Aurghya Maiti
V. Nair
Gaurav Sinha
    CML
ArXiv (abs)PDFHTML

Papers citing "A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders"

12 / 12 papers shown
Title
Causal Bandits with Unknown Graph Structure
Causal Bandits with Unknown Graph Structure
Yangyi Lu
A. Meisami
Ambuj Tewari
CML
42
44
0
05 Jun 2021
Causal Markov Decision Processes: Learning Good Interventions
  Efficiently
Causal Markov Decision Processes: Learning Good Interventions Efficiently
Yangyi Lu
A. Meisami
Ambuj Tewari
47
10
0
15 Feb 2021
Budgeted and Non-budgeted Causal Bandits
Budgeted and Non-budgeted Causal Bandits
V. Nair
Vishakha Patil
Gaurav Sinha
52
41
0
13 Dec 2020
Learning and Sampling of Atomic Interventions from Observations
Learning and Sampling of Atomic Interventions from Observations
Arnab Bhattacharyya
Sutanu Gayen
S. Kandasamy
Ashwin Maran
N. V. Vinodchandran
CML
27
4
0
11 Feb 2020
Introduction to Multi-Armed Bandits
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
622
1,010
0
15 Apr 2019
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
44
32
0
06 Jun 2018
Learning and Testing Causal Models with Interventions
Learning and Testing Causal Models with Interventions
Jayadev Acharya
Arnab Bhattacharyya
C. Daskalakis
S. Kandasamy
CML
56
53
0
24 May 2018
Identifying Best Interventions through Online Importance Sampling
Identifying Best Interventions through Online Importance Sampling
Rajat Sen
Karthikeyan Shanmugam
A. Dimakis
Sanjay Shakkottai
56
73
0
10 Jan 2017
Causal Bandits: Learning Good Interventions via Causal Inference
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore
Tor Lattimore
Mark D. Reid
CML
54
161
0
10 Jun 2016
Causal Networks: Semantics and Expressiveness
Causal Networks: Semantics and Expressiveness
Thomas Verma
Judea Pearl
GNN
87
551
0
27 Mar 2013
Counterfactual Reasoning and Learning Systems
Counterfactual Reasoning and Learning Systems
Léon Bottou
J. Peters
J. Q. Candela
Denis Xavier Charles
D. M. Chickering
Elon Portugaly
Dipankar Ray
Patrice Y. Simard
Edward Snelson
CMLOffRL
385
783
0
11 Sep 2012
Characterization and Greedy Learning of Interventional Markov
  Equivalence Classes of Directed Acyclic Graphs
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
95
425
0
14 Apr 2011
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