Maximizing acquisition functions for Bayesian optimization

25 May 2018

Papers citing "Maximizing acquisition functions for Bayesian optimization"

17 / 117 papers shown

Title
Efficiently Sampling Functions from Gaussian Process Posteriors James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 6 162 0 21 Feb 2020
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems Xiao-e Ruan Ke Li B. Derbel A. Liefooghe 6 18 0 08 Feb 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 42 313 0 25 Oct 2019
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 31 35 0 17 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 29 93 0 14 Oct 2019
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation Marko Jarvenpaa Aki Vehtari Pekka Marttinen 25 15 0 14 Oct 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 27 96 0 27 Sep 2019
Two-stage Optimization for Machine Learning Workflow Alexandre Quemy TPM 16 26 0 01 Jul 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 26 397 0 25 Jun 2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization David H. Brookes A. Busia Clara Fannjiang Kevin Patrick Murphy Jennifer Listgarten 9 22 0 24 May 2019
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 8 40 0 03 May 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language W. Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric P. Xing 23 17 0 31 Jan 2019
On Local Optimizers of Acquisition Functions in Bayesian Optimization Jungtaek Kim Seungjin Choi 22 19 0 24 Jan 2019
Doubly Bayesian Optimization Alexander Lavin 23 0 0 11 Dec 2018
Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed Sharan Vaswani Mark W. Schmidt 20 22 0 10 Oct 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 55 34 0 06 Feb 2018
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017