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Thompson Sampling for 1-Dimensional Exponential Family Bandits

Thompson Sampling for 1-Dimensional Exponential Family Bandits

12 July 2013
N. Korda
E. Kaufmann
Rémi Munos
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Papers citing "Thompson Sampling for 1-Dimensional Exponential Family Bandits"

35 / 85 papers shown
Title
Adaptive Sensor Placement for Continuous Spaces
Adaptive Sensor Placement for Continuous Spaces
James A Grant
A. Boukouvalas
Ryan-Rhys Griffiths
David S Leslie
Sattar Vakili
Enrique Munoz de Cote
31
13
0
16 May 2019
Data Poisoning Attacks on Stochastic Bandits
Data Poisoning Attacks on Stochastic Bandits
Fang Liu
Ness B. Shroff
AAML
25
98
0
16 May 2019
Thompson Sampling for Noncompliant Bandits
Thompson Sampling for Noncompliant Bandits
Andrew Stirn
Tony Jebara
11
5
0
03 Dec 2018
A Unified Approach to Translate Classical Bandit Algorithms to the
  Structured Bandit Setting
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting
Samarth Gupta
Shreyas Chaudhari
Subhojyoti Mukherjee
Gauri Joshi
Osman Yağan
22
10
0
18 Oct 2018
Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit
Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit
Iñigo Urteaga
C. Wiggins
22
2
0
08 Aug 2018
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Grégoire Jauvion
Nicolas Grislain
P. D. Sielenou
Aurélien Garivier
Sébastien Gerchinovitz
19
19
0
09 Jul 2018
Infinite Arms Bandit: Optimality via Confidence Bounds
Infinite Arms Bandit: Optimality via Confidence Bounds
H. Chan
Shouri Hu
19
11
0
30 May 2018
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a
  distribution-dependent and a distribution-free viewpoints
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints
Aurélien Garivier
Hédi Hadiji
Pierre Menard
Gilles Stoltz
30
32
0
14 May 2018
Profitable Bandits
Profitable Bandits
Mastane Achab
Stephan Clémençon
Aurélien Garivier
34
5
0
08 May 2018
UCBoost: A Boosting Approach to Tame Complexity and Optimality for
  Stochastic Bandits
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
Fang Liu
Sinong Wang
Swapna Buccapatnam
Ness B. Shroff
17
7
0
16 Apr 2018
Cuttlefish: A Lightweight Primitive for Adaptive Query Processing
Cuttlefish: A Lightweight Primitive for Adaptive Query Processing
Tomer Kaftan
Magdalena Balazinska
Alvin Cheung
J. Gehrke
26
26
0
26 Feb 2018
Variational inference for the multi-armed contextual bandit
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga
C. Wiggins
24
29
0
10 Sep 2017
Bayesian bandits: balancing the exploration-exploitation tradeoff via
  double sampling
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling
Iñigo Urteaga
C. Wiggins
14
4
0
10 Sep 2017
Bayesian Dyadic Trees and Histograms for Regression
Bayesian Dyadic Trees and Histograms for Regression
S. V. D. Pas
Veronika Rockova
47
22
0
31 Jul 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
Tor Lattimore
40
19
0
27 Mar 2017
The Multi-Armed Bandit Problem: An Efficient Non-Parametric Solution
The Multi-Armed Bandit Problem: An Efficient Non-Parametric Solution
H. Chan
52
15
0
24 Mar 2017
A minimax and asymptotically optimal algorithm for stochastic bandits
A minimax and asymptotically optimal algorithm for stochastic bandits
Pierre Ménard
Aurélien Garivier
40
59
0
23 Feb 2017
Estimating Quality in Multi-Objective Bandits Optimization
Estimating Quality in Multi-Objective Bandits Optimization
A. Durand
Christian Gagné
16
1
0
04 Jan 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear
  Bandits
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
Tor Lattimore
Csaba Szepesvári
24
103
0
14 Oct 2016
Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits
Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits
Alexander Luedtke
E. Kaufmann
Antoine Chambaz
25
7
0
30 Jun 2016
Online Algorithms For Parameter Mean And Variance Estimation In Dynamic
  Regression Models
Online Algorithms For Parameter Mean And Variance Estimation In Dynamic Regression Models
C. Gomez-Uribe
4
6
0
18 May 2016
Simple Bayesian Algorithms for Best Arm Identification
Simple Bayesian Algorithms for Best Arm Identification
Daniel Russo
36
273
0
26 Feb 2016
On Bayesian index policies for sequential resource allocation
On Bayesian index policies for sequential resource allocation
E. Kaufmann
48
84
0
06 Jan 2016
Optimally Confident UCB: Improved Regret for Finite-Armed Bandits
Optimally Confident UCB: Improved Regret for Finite-Armed Bandits
Tor Lattimore
27
46
0
28 Jul 2015
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed
  Bandit Problem with Multiple Plays
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama
Junya Honda
Hiroshi Nakagawa
27
134
0
02 Jun 2015
An Asymptotically Optimal Policy for Uniform Bandits of Unknown Support
An Asymptotically Optimal Policy for Uniform Bandits of Unknown Support
Wesley Cowan
M. Katehakis
29
27
0
08 May 2015
Global Bandits
Global Bandits
Onur Atan
Cem Tekin
Mihaela van der Schaar
34
16
0
29 Mar 2015
Bounded Regret for Finite-Armed Structured Bandits
Bounded Regret for Finite-Armed Structured Bandits
Tor Lattimore
Rémi Munos
27
69
0
11 Nov 2014
Global Bandits with Holder Continuity
Global Bandits with Holder Continuity
Onur Atan
Cem Tekin
M. Schaar
29
24
0
29 Oct 2014
Thompson Sampling for Learning Parameterized Markov Decision Processes
Thompson Sampling for Learning Parameterized Markov Decision Processes
Aditya Gopalan
Shie Mannor
33
0
0
29 Jun 2014
An Information-Theoretic Analysis of Thompson Sampling
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo
Benjamin Van Roy
39
421
0
21 Mar 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
Junya Honda
Akimichi Takemura
24
63
0
08 Nov 2013
Thompson Sampling for Complex Bandit Problems
Thompson Sampling for Complex Bandit Problems
Aditya Gopalan
Shie Mannor
Yishay Mansour
26
200
0
03 Nov 2013
Generalized Thompson Sampling for Sequential Decision-Making and Causal
  Inference
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Pedro A. Ortega
Daniel A. Braun
CML
57
52
0
18 Mar 2013
Learning to Optimize Via Posterior Sampling
Learning to Optimize Via Posterior Sampling
Daniel Russo
Benjamin Van Roy
50
694
0
11 Jan 2013
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