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

Matthias Seeger

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

17 / 617 papers shown

Title
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 33 213 0 19 Apr 2013
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization Matthew W. Hoffman Bobak Shahriari Nando de Freitas 32 15 0 27 Mar 2013
Monte-Carlo utility estimates for Bayesian reinforcement learning Christos Dimitrakakis 29 4 0 11 Mar 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers Ziyun Wang S. Mohamed Nando de Freitas 61 56 0 25 Feb 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 36 694 0 11 Jan 2013
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations Nando de Freitas Alex Smola M. Zoghi 42 110 0 27 Jun 2012
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 54 471 0 27 Jun 2012
Regret Bounds for Deterministic Gaussian Process Bandits Nando de Freitas Alex Smola M. Zoghi GP 278 10 0 09 Mar 2012
Active Bayesian Optimization: Minimizing Minimizer Entropy Il-Su Park Marcel Nassar Mijung Park BDL 51 1 0 09 Feb 2012
Self-Avoiding Random Dynamics on Integer Complex Systems F. Hamze Ziyun Wang Nando de Freitas 45 25 0 23 Nov 2011
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits Yevgeny Seldin Nicolò Cesa-Bianchi P. Auer François Laviolette John Shawe-Taylor 40 25 0 31 Oct 2011
Bayesian Optimization for Adaptive MCMC Nimalan Mahendran Ziyun Wang F. Hamze Nando de Freitas 57 3 0 29 Oct 2011
Stochastic convex optimization with bandit feedback Alekh Agarwal Dean Phillips Foster Daniel J. Hsu Sham Kakade Alexander Rakhlin 49 239 0 08 Jul 2011
Adaptive Submodular Optimization under Matroid Constraints Daniel Golovin Andreas Krause 57 22 0 24 Jan 2011
Convergence rates of efficient global optimization algorithms Adam D. Bull 57 639 0 18 Jan 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 76 2,431 0 12 Dec 2010
Gaussian Process Bandits for Tree Search: Theory and Application to Planning in Discounted MDPs Louis Dorard John Shawe-Taylor GP 69 1 0 03 Sep 2010