CMA-ES for Hyperparameter Optimization of Deep Neural Networks

25 April 2016

Papers citing "CMA-ES for Hyperparameter Optimization of Deep Neural Networks"

30 / 30 papers shown

Title
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs Zhuo Yang Lingli Ge Dong Han Tianfan Fu Yuqiang Li 22 0 0 19 May 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 38 0 0 30 Jan 2025
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise Catalin-Viorel Dinu Yash J. Patel X. Bonet-Monroig Hao Wang 30 0 0 25 Sep 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It Yuta Saito Masahiro Nomura OffRL 50 2 0 23 Apr 2024
Asynchronous Evolution of Deep Neural Network Architectures J. Liang H. Shahrzad Risto Miikkulainen 28 0 0 08 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 21 2 0 01 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 42 0 0 28 Jul 2023
Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques Md Abrar Jahin Md Sakib Hossain Shovon Jungpil Shin Istiyaque Ahmed Ridoy M. F. Mridha AI4TS 18 13 0 24 Jul 2023
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 17 9 0 16 Nov 2022
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 29 76 0 10 Jun 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models Jeroen van Hoof Joaquin Vanschoren BDL 38 9 0 06 Jan 2021
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks Marcello Serqueira Israel Mendonça Eduardo Bezerra 8 19 0 22 Nov 2020
Weighted Random Search for CNN Hyperparameter Optimization Razvan Andonie A. Florea 28 55 0 30 Mar 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 24 75 0 27 May 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 24 49 0 22 May 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization Miao Zhang Huiqi Li Juan Lyu S. Ling Steven W. Su AI4CE 17 11 0 02 Jan 2019
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network K. Nishida H. Aguirre Shota Saito Shinichi Shirakawa Youhei Akimoto 16 1 0 18 Sep 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari P. Chrabaszcz I. Loshchilov Frank Hutter 32 99 0 24 Feb 2018
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 36 230 0 13 Nov 2017
Evolution of Convolutional Highway Networks Oliver Kramer 14 11 0 11 Sep 2017
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization I. Loshchilov Tobias Glasmachers Hans-Georg Beyer ODL 22 18 0 18 May 2017
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Masanori Suganuma Shinichi Shirakawa T. Nagao 20 587 0 03 Apr 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju H. Shahrzad Arshak Navruzyan Nigel P. Duffy B. Hodjat 18 884 0 01 Mar 2017