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Bayesian Optimistic Optimisation with Exponentially Decaying Regret
10 May 2021
Hung The Tran
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
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Papers citing
"Bayesian Optimistic Optimisation with Exponentially Decaying Regret"
18 / 18 papers shown
Title
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung The Tran
Sunil R. Gupta
Santu Rana
Huong Ha
Svetha Venkatesh
64
6
0
05 Sep 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang
Rodrigo Fonseca
Yuandong Tian
95
128
0
01 Jul 2020
Bandit optimisation of functions in the Matérn kernel RKHS
David Janz
David R. Burt
Javier I. González
62
45
0
28 Jan 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
Hung The Tran
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
61
14
0
27 Nov 2019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa
Philipp Hennig
Dino Sejdinovic
Bharath K. Sriperumbudur
GP
BDL
151
344
0
06 Jul 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
Zi Wang
Clement Gehring
Pushmeet Kohli
Stefanie Jegelka
UQCV
70
216
0
05 Jun 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
98
103
0
31 May 2017
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
127
463
0
03 Apr 2017
Embedded Bandits for Large-Scale Black-Box Optimization
Abdullah Al-Dujaili
Suresh Sundaram
42
4
0
27 Nov 2016
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi
L. Kaelbling
Tomás Lozano-Pérez
104
108
0
05 Apr 2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
823
39,255
0
09 Mar 2016
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy
J. Schneider
Barnabás Póczós
79
356
0
05 Mar 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
109
648
0
10 Jun 2014
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
128
95
0
27 Feb 2014
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas
Alex Smola
M. Zoghi
98
112
0
27 Jun 2012
Corrected Kriging update formulae for batch-sequential data assimilation
C. Chevalier
D. Ginsbourger
89
47
0
29 Mar 2012
Convergence rates of efficient global optimization algorithms
Adam D. Bull
155
641
0
18 Jan 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
181
1,626
0
21 Dec 2009
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