Bayesian Optimization of Combinatorial Structures

22 June 2018

Papers citing "Bayesian Optimization of Combinatorial Structures"

23 / 73 papers shown

Title
Bayesian Variational Optimization for Combinatorial Spaces Tony C Wu Daniel Flam-Shepherd Alán Aspuru-Guzik BDL 17 4 0 03 Nov 2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Syrine Belakaria Aryan Deshwal J. Doppa 20 7 0 12 Sep 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 14 131 0 01 Sep 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Arber Zela Julien N. Siems Lucas Zimmer Jovita Lukasik M. Keuper Frank Hutter 36 75 0 22 Aug 2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models Aryan Deshwal Syrine Belakaria J. Doppa 6 13 0 18 Aug 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 11 6 0 16 Aug 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Austin Tripp Erik A. Daxberger José Miguel Hernández-Lobato MedIm 24 135 0 16 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 8 34 0 09 Jun 2020
Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints Laurens Bliek Arthur Guijt S. Verwer Mathijs de Weerdt 8 19 0 08 Jun 2020
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 17 16 0 06 Jun 2020
Combinatorial 3D Shape Generation via Sequential Assembly Jungtaek Kim H. Chung Jinhwi Lee Minsu Cho Jaesik Park 13 21 0 16 Apr 2020
Weighting NTBEA for Game AI Optimisation J. Goodman Simon Lucas 14 2 0 23 Mar 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 18 63 0 11 Dec 2019
Black-box Combinatorial Optimization using Models with Integer-valued Minima Laurens Bliek S. Verwer Mathijs de Weerdt 8 18 0 20 Nov 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
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 29 22 0 09 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 31 449 0 03 Oct 2019
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning Juan Cruz Barsce J. Palombarini E. Martínez OffRL 11 0 0 18 Sep 2019
Ludwig: a type-based declarative deep learning toolbox Piero Molino Yaroslav Dudin Sai Sumanth Miryala VLM 11 62 0 17 Sep 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 6 44 0 21 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 16 51 0 02 Jul 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Jakub M. Tomczak E. Gavves Max Welling 14 105 0 01 Feb 2019