Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces

2 July 2023

Papers citing "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"

17 / 17 papers shown

Title
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 72 1 0 27 Sep 2024
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek Haitham Bou-Ammar 68 22 0 30 Jan 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 44 18 0 01 Dec 2022
Autonomous Drug Design with Multi-Armed Bandits Hampus Gummesson Svensson E. Bjerrum C. Tyrchan Ola Engkvist M. Chehreghani 55 5 0 04 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 56 212 0 07 Jun 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 58 28 0 18 Mar 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 60 38 0 04 Nov 2021
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 53 127 0 01 Jul 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 76 108 0 26 Mar 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 114 0 31 Jan 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 81 463 0 03 Oct 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 88 97 0 20 Jun 2019
$DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning$ DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning Artur L. F. Souza Leonardo B. Oliveira Sabine Hollatz Matthew Feldman K. Olukotun J. Holton A. Cohen Luigi Nardi 32 8 0 26 Apr 2019
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 42 86 0 11 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 104 1,782 0 08 Jul 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 71 136 0 22 Jun 2018
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 58 183 0 06 Jun 2017