BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

29 May 2014

Papers citing "BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits"

19 / 19 papers shown

Title
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty João Castanheira Pedro Vicente Ruben Martinez-Cantin L. Jamone Alexandre Bernardino 26 11 0 10 Feb 2024
Bayesian Optimization with Adaptive Kernels for Robot Control Ruben Martinez-Cantin 14 37 0 10 Feb 2024
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Victor Picheny Joel Berkeley Henry B. Moss Hrvoje Stojić Uri Granta ... Sergio Pascual-Diaz Stratis Markou Jixiang Qing Nasrulloh Loka Ivo Couckuyt 26 17 0 16 Feb 2023
Revisiting Bayesian Optimization in the light of the COCO benchmark Rodolphe Le Riche Victor Picheny 16 26 0 30 Mar 2021
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 20 2,032 0 30 Jul 2020
Weighted Random Search for CNN Hyperparameter Optimization Razvan Andonie A. Florea 28 55 0 30 Mar 2020
Reasoning about Hypothetical Agent Behaviours and their Parameters Stefano V. Albrecht Peter Stone 6 62 0 26 Jun 2019
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Deep neural decoders for near term fault-tolerant experiments C. Chamberland Pooya Ronagh 18 82 0 18 Feb 2018
ZOOpt: Toolbox for Derivative-Free Optimization Yu-Ren Liu Yi-Qi Hu Hong Qian Chao Qian Yang Yu GP 24 28 0 31 Dec 2017
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates Julia Ling Maxwell Hutchinson Erin Antono S. Paradiso B. Meredig 11 153 0 21 Apr 2017
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 27 168 0 09 Mar 2017
Global optimization of Lipschitz functions C. Malherbe Nicolas Vayatis 13 118 0 07 Mar 2017
Limbo: A Fast and Flexible Library for Bayesian Optimization Antoine Cully Konstantinos Chatzilygeroudis Federico Allocati Jean-Baptiste Mouret 13 18 0 22 Nov 2016
Learning Genomic Representations to Predict Clinical Outcomes in Cancer Safoora Yousefi Congzheng Song Nelson Nauata L. Cooper 22 10 0 27 Sep 2016
Joint Optical Flow and Temporally Consistent Semantic Segmentation Junhwa Hur Stefan Roth 14 71 0 26 Jul 2016
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions Laurens Bliek H. Verstraete M. Verhaegen S. Wahls 12 38 0 31 Mar 2016
Hyperparameter Search in Machine Learning Marc Claesen B. De Moor 30 436 0 07 Feb 2015
Easy Hyperparameter Search Using Optunity Marc Claesen Jaak Simm D. Popovic Yves Moreau B. De Moor 37 78 0 02 Dec 2014