Global optimization using random embeddings

26 July 2021

Papers citing "Global optimization using random embeddings"

9 / 9 papers shown

Title
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks Giuseppe Ughi V. Abrol Jared Tanner AAML 51 13 0 03 Dec 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 119 50 0 29 Mar 2020
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 78 144 0 17 Jul 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 92 149 0 08 Feb 2019
Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett Michael A. Osborne Philipp Hennig GP 111 92 0 24 Oct 2013
Learning Non-Parametric Basis Independent Models from Point Queries via Low-Rank Methods Hemant Tyagi Volkan Cevher 104 45 0 07 Oct 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 197 446 0 09 Jan 2013
Parallel Coordinate Descent Methods for Big Data Optimization Peter Richtárik Martin Takáč 130 487 0 04 Dec 2012
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 237 1,058 0 03 Aug 2011