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Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

21 December 2009
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
ArXivPDFHTML

Papers citing "Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design"

50 / 617 papers shown
Title
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and
  Length-Scale Cool Down
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down
K. P. Wabersich
Marc Toussaint
27
11
0
09 Dec 2016
Factored Contextual Policy Search with Bayesian Optimization
Factored Contextual Policy Search with Bayesian Optimization
Peter Karkus
A. Kupcsik
David Hsu
Wee Sun Lee
OffRL
29
10
0
06 Dec 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point
  Processes
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria
Amit Deshpande
Pushmeet Kohli
GP
30
103
0
13 Nov 2016
A Bayesian optimization approach to find Nash equilibria
A Bayesian optimization approach to find Nash equilibria
Victor Picheny
M. Binois
A. Habbal
25
35
0
08 Nov 2016
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
V. Cevher
72
89
0
24 Oct 2016
Sample Efficient Optimization for Learning Controllers for Bipedal
  Locomotion
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion
Rika Antonova
Akshara Rai
C. Atkeson
24
30
0
15 Oct 2016
Learning Personalized Optimal Control for Repeatedly Operated Systems
Learning Personalized Optimal Control for Repeatedly Operated Systems
Theja Tulabandhula
14
0
0
18 Sep 2016
Efficient batch-sequential Bayesian optimization with moments of
  truncated Gaussian vectors
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
Sébastien Marmin
C. Chevalier
D. Ginsbourger
26
13
0
09 Sep 2016
A supermartingale approach to Gaussian process based sequential design
  of experiments
A supermartingale approach to Gaussian process based sequential design of experiments
Julien Bect
François Bachoc
D. Ginsbourger
34
77
0
03 Aug 2016
Learning Optimal Interventions
Learning Optimal Interventions
Jonas W. Mueller
David N. Reshef
George Du
Tommi Jaakkola
16
9
0
16 Jun 2016
Safe Exploration in Finite Markov Decision Processes with Gaussian
  Processes
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
M. Turchetta
Felix Berkenkamp
Andreas Krause
19
183
0
15 Jun 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu
P. Frazier
ODL
BDL
19
223
0
14 Jun 2016
Bayesian Optimization with Exponential Convergence
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi
L. Kaelbling
Tomás Lozano-Pérez
31
106
0
05 Apr 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian
  optimization
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization
Hildo Bijl
Thomas B. Schon
J. Wingerden
M. Verhaegen
21
25
0
01 Apr 2016
Unscented Bayesian Optimization for Safe Robot Grasping
Unscented Bayesian Optimization for Safe Robot Grasping
José Nogueira
Ruben Martinez-Cantin
Alexandre Bernardino
L. Jamone
29
71
0
07 Mar 2016
Simple Bayesian Algorithms for Best Arm Identification
Simple Bayesian Algorithms for Best Arm Identification
Daniel Russo
31
273
0
26 Feb 2016
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Yuyu Zhang
M. T. Bahadori
Hang Su
Jimeng Sun
34
34
0
20 Feb 2016
Stochastic Process Bandits: Upper Confidence Bounds Algorithms via
  Generic Chaining
Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining
E. Contal
Nicolas Vayatis
14
12
0
16 Feb 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic
  Parameter Tuning in Robotics
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp
Andreas Krause
Angela P. Schoellig
48
276
0
14 Feb 2016
Minimum Regret Search for Single- and Multi-Task Optimization
Minimum Regret Search for Single- and Multi-Task Optimization
J. H. Metzen
26
20
0
02 Feb 2016
Time-Varying Gaussian Process Bandit Optimization
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic
Jonathan Scarlett
V. Cevher
69
95
0
25 Jan 2016
Active Contextual Entropy Search
Active Contextual Entropy Search
J. H. Metzen
18
9
0
13 Nov 2015
Optimization for Gaussian Processes via Chaining
Optimization for Gaussian Processes via Chaining
E. Contal
C. Malherbe
Nicolas Vayatis
53
7
0
19 Oct 2015
Dual Control for Approximate Bayesian Reinforcement Learning
Dual Control for Approximate Bayesian Reinforcement Learning
Edgar D. Klenske
Philipp Hennig
BDL
OffRL
16
67
0
13 Oct 2015
Using Bayesian Optimization to Guide Probing of a Flexible Environment
  for Simultaneous Registration and Stiffness Mapping
Using Bayesian Optimization to Guide Probing of a Flexible Environment for Simultaneous Registration and Stiffness Mapping
E. Ayvali
Rangaprasad Arun Srivatsan
Long Wang
R. Roy
Nabil Simaan
Howie Choset
17
43
0
19 Sep 2015
Sequential Design for Ranking Response Surfaces
Sequential Design for Ranking Response Surfaces
Ruimeng Hu
M. Ludkovski
30
26
0
03 Sep 2015
Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret
  Analysis
Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis
Vaibhav Srivastava
Paul B. Reverdy
Naomi Ehrich Leonard
25
10
0
05 Jul 2015
Gaussian Process Regression with Location Errors
Gaussian Process Regression with Location Errors
D. Cervone
Natesh S. Pillai
31
17
0
27 Jun 2015
Local Nonstationarity for Efficient Bayesian Optimization
Local Nonstationarity for Efficient Bayesian Optimization
Ruben Martinez-Cantin
34
3
0
05 Jun 2015
Discovering Valuable Items from Massive Data
Discovering Valuable Items from Massive Data
Hastagiri P. Vanchinathan
Andreas Marfurt
C. Robelin
Donald Kossmann
Andreas Krause
26
36
0
02 Jun 2015
Bayesian Policy Reuse
Bayesian Policy Reuse
Benjamin Rosman
Majd Hawasly
S. Ramamoorthy
OffRL
23
81
0
01 May 2015
Differentiating the multipoint Expected Improvement for optimal batch
  design
Differentiating the multipoint Expected Improvement for optimal batch design
Sébastien Marmin
C. Chevalier
D. Ginsbourger
35
51
0
18 Mar 2015
On the Equivalence between Kernel Quadrature Rules and Random Feature
  Expansions
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis R. Bach
34
34
0
24 Feb 2015
Gaussian Process Models for HRTF based Sound-Source Localization and
  Active-Learning
Gaussian Process Models for HRTF based Sound-Source Localization and Active-Learning
Yuancheng Luo
D. Zotkin
R. Duraiswami
GP
21
3
0
11 Feb 2015
Differentially Private Bayesian Optimization
Differentially Private Bayesian Optimization
Matt J. Kusner
Jacob R. Gardner
Roman Garnett
Kilian Q. Weinberger
32
52
0
16 Jan 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based
  Statistical Models
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann
J. Corander
45
285
0
14 Jan 2015
Fast and optimal nonparametric sequential design for astronomical
  observations
Fast and optimal nonparametric sequential design for astronomical observations
Justin Yang
Xufei Wang
P. Protopapas
L. Bornn
16
3
0
11 Jan 2015
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian
  Process Hyper-Parameters
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
Ziyun Wang
Nando de Freitas
49
89
0
30 Jun 2014
Learning to Optimize via Information-Directed Sampling
Learning to Optimize via Information-Directed Sampling
Daniel Russo
Benjamin Van Roy
42
276
0
21 Mar 2014
An Information-Theoretic Analysis of Thompson Sampling
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo
Benjamin Van Roy
23
421
0
21 Mar 2014
Conservative collision prediction and avoidance for stochastic
  trajectories in continuous time and space
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space
Jan-Peter Calliess
Michael A. Osborne
Stephen J. Roberts
28
5
0
17 Feb 2014
Input Warping for Bayesian Optimization of Non-stationary Functions
Input Warping for Bayesian Optimization of Non-stationary Functions
Jasper Snoek
Kevin Swersky
R. Zemel
Ryan P. Adams
50
235
0
05 Feb 2014
Learning Temporal Logical Properties Discriminating ECG models of
  Cardiac Arrhytmias
Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias
E. Bartocci
Luca Bortolussi
G. Sanguinetti
36
18
0
29 Dec 2013
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
M. Zoghi
Shimon Whiteson
Rémi Munos
Maarten de Rijke
49
140
0
12 Dec 2013
Bandits and Experts in Metric Spaces
Bandits and Experts in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
49
120
0
04 Dec 2013
Detection of Correlations with Adaptive Sensing
Detection of Correlations with Adaptive Sensing
R. Castro
Gabor Lugosi
Pierre-André Savalle
56
14
0
21 Nov 2013
Gaussian Process Optimization with Mutual Information
Gaussian Process Optimization with Mutual Information
E. Contal
Vianney Perchet
Nicolas Vayatis
42
82
0
19 Nov 2013
On the Robustness of Temporal Properties for Stochastic Models
On the Robustness of Temporal Properties for Stochastic Models
E. Bartocci
Luca Bortolussi
L. Nenzi
G. Sanguinetti
41
59
0
03 Sep 2013
BayesOpt: A Library for Bayesian optimization with Robotics Applications
BayesOpt: A Library for Bayesian optimization with Robotics Applications
Ruben Martinez-Cantin
43
0
0
03 Sep 2013
Modeling Human Decision-making in Generalized Gaussian Multi-armed
  Bandits
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits
Paul B. Reverdy
Vaibhav Srivastava
Naomi Ehrich Leonard
36
81
0
23 Jul 2013
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