A sequential Monte Carlo approach to Thompson sampling for Bayesian
optimization

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A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization

1 April 2016

Thomas B. Schon

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Papers citing "A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization"

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Title
Optimal Initialization of Batch Bayesian Optimization Jiuge Ren David Sweet 67 2 0 27 Apr 2024
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties V. ArunKumarA. A. Shilton Sunil R. Gupta Santu Rana S. Greenhill Svetha Venkatesh 33 4 0 27 Feb 2024
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 146 31 0 22 Jun 2022
Power of human-algorithm collaboration in solving combinatorial optimization problems Tapani Toivonen 47 1 0 25 Jul 2021
Scalable Bayesian Optimization with Sparse Gaussian Process Models Ang Yang 50 0 0 26 Oct 2020
Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization Kinjal Basu Souvik Ghosh 106 42 0 18 May 2017
Efficient acquisition rules for model-based approximate Bayesian computation Marko Jarvenpaa Michael U. Gutmann Arijus Pleska Aki Vehtari Pekka Marttinen TPM 202 69 0 03 Apr 2017