Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization

2 May 2024

Papers citing "Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization"

17 / 17 papers shown

Title
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 147 374 0 13 Feb 2023
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Z. Yao A. Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney ODL 99 281 0 01 Jun 2020
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 55 303 0 16 Dec 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 663 5,808 0 25 Jul 2019
A Tutorial on Bayesian Optimization P. Frazier GP 109 1,788 0 08 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 203 1,098 0 04 Jul 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization Sijia Liu B. Kailkhura Pin-Yu Chen Pai-Shun Ting Shiyu Chang Lisa Amini 92 183 0 25 May 2018
Practical Gauss-Newton Optimisation for Deep Learning Aleksandar Botev H. Ritter David Barber ODL 56 231 0 12 Jun 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 92 1,538 0 10 Mar 2017
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond Levent Sagun Léon Bottou Yann LeCun UQCV 91 236 0 22 Nov 2016
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback Ohad Shamir 59 261 0 31 Jul 2015
ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter Thomas Stuetzle Kevin Leyton-Brown T. Stützle 86 1,067 0 15 Jan 2014
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 77 486 0 07 Dec 2013
Query Complexity of Derivative-Free Optimization Kevin Jamieson Robert D. Nowak Benjamin Recht 167 159 0 11 Sep 2012
Optimization hardness as transient chaos in an analog approach to constraint satisfaction M. Ercsey-Ravasz Z. Toroczkai 57 113 0 02 Aug 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 353 7,942 0 13 Jun 2012
No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun 137 478 0 06 Jun 2012