Bayesian optimization

Parallel Problem Solving from Nature - PPSN VIII

Citations: 1151 • 2004

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani

Citations: 400 • 2014

On-the-fly closed-loop materials discovery via Bayesian active learning

Citations: 388 • 2020

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Ziyu Wang, Frank Hutter, Masrour Zoghi, David S. Matheson, Nando De Feitas

Citations: 372 • 2016

On-the-fly closed-loop materials discovery via Bayesian active learning

A. Gilad Kusne, Heshan Yu, Changming Wu, H. R. Zhang, Jason Hattrick‐Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi

Citations: 325

Bayesian optimization for learning gaits under uncertainty

Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth

Citations: 290 • 2015

A General Framework for Uncertainty Estimation in Deep Learning

Citations: 272 • 2020

Automatic gait optimization with Gaussian process regression

Daniel J. Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans

Citations: 247 • 2007

Bayesian optimization in high dimensions via random embeddings

Ziyu Wang, Masrour Zoghi, Frank Hutter, David S. Matheson, Nando de Freitas

Citations: 242 • 2013

A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot

Rubén Martínez-Cantín, Nando de Freitas, Eric Brochu, José A. Castellanos, Randal Douc

Citations: 222 • 2009

Towards a fully automated algorithm driven platform for biosystems design

Mohammad HamediRad, Ran Chao, Scott Weisberg, Jiazhang Lian, Saurabh Sinha, Huimin Zhao

Citations: 192 • 2019

Autonomous materials synthesis by machine learning and robotics

Ryota Shimizu, Shigeru Kobayashi, Yuki Watanabe, Yasunobu Ando, Taro Hitosugi

Citations: 183 • 2020

AutoMoDe: A novel approach to the automatic design of control software for robot swarms

Gianpiero Francesca, Manuele Brambilla, Arne Brutschy, Vito Trianni, Mauro Birattari

Citations: 168 • 2014

Robot Programming by Demonstration: A Probabilistic Approach

Sylvain Calinon

Citations: 164 • 2021

Scalable Global Optimization via Local Bayesian Optimization

David Eriksson, Michael Pearce, Jacob R. Gardner, R.D. Turner, Matthias Poloczek

Citations: 144 • 2019

Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer

James R. Deneault, Jorge Chang, Jay I. Myung, Daylond Hooper, Andrew Armstrong, Mark A. Pitt, Benji Maruyama

Citations: 143 • 2021

Information-theoretic exploration with Bayesian optimization

Shi Bai, Jinkun Wang, Fanfei Chen, Brendan Englot

Citations: 132 • 2016

Machine learning in nuclear materials research

Dane Morgan, Ghanshyam Pilania, Adrien Couet, Blas P. Uberuaga, Cheng Sun, Ju Li

Citations: 122 • 2022

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization

Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe

Citations: 111 • 2017

Statistical Learning by Imitation of Competing Constraints in Joint Space and Task Space

Sylvain Calinon, Aude Billard

Citations: 110 • 2009