High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds

21 October 2020

Papers citing "High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds"

8 / 8 papers shown

Title
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 49 4 0 07 Jun 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe A. Davydov Deniz Lapsekili Ambuj K. Singh Francesco Bullo 40 2 0 12 Feb 2024
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 31 1 0 21 Dec 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 42 200 0 07 Jun 2022
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 34 35 0 02 Nov 2021
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 78 111 0 31 Jan 2020
Barycentric Subspace Analysis on Manifolds Xavier Pennec 68 82 0 11 Jul 2016
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 94 271 0 24 Feb 2014