Results 61 to 70 of about 2,841,488 (326)
BCMA-ES: A Bayesian Approach to CMA-ES [PDF]
SSRN Electronic Journal, 2019 This paper introduces a novel theoretically sound approach for the celebrated CMA-ES algorithm. Assuming the parameters of the multi variate normal distribution for the minimum follow a conjugate prior distribution, we derive their optimal update at each iteration step. Not only provides this Bayesian framework a justification for the update of the CMA-
Benhamou, Eric +3 more
openaire +2 more sources
Warm Starting CMA-ES for Hyperparameter Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Hyperparameter optimization (HPO), formulated as black-box optimization (BBO), is recognized as essential for automation and high performance of machine learning approaches. The CMA-ES is a promising BBO approach with a high degree of parallelism, and has been applied to HPO tasks, often under parallel implementation, and shown superior performance to ...
Nomura, Masahiro +4 more
openaire +3 more sources
An Asynchronous Implementation of the Limited Memory CMA-ES
, 2015 We present our asynchronous implementation of the LM-CMA-ES algorithm, which is a modern evolution strategy for solving complex large-scale continuous optimization problems.
Arkhipov, Viktor +2 more
core +1 more source
Immunity, Inflammation and Disease, 2020 Background The association between atopic sensitisation, atopic eczema (AE) and asthma is known, but distinct roles of allergies on long‐term health are unestablished.
Sonja Piippo +3 more
doaj +1 more source
Theoretical Foundation for CMA-ES from Information Geometry Perspective [PDF]
Algorithmica, 2011 This paper explores the theoretical basis of the covariance matrix adaptation evolution strategy (CMA-ES) from the information geometry viewpoint. To establish a theoretical foundation for the CMA-ES, we focus on a geometric structure of a Riemannian manifold of probability distributions equipped with the Fisher metric.
Akimoto, Youhei +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé +5 more
wiley +1 more source
, 2019 Contextual policy search (CPS) is a class of multi-task reinforcement learning algorithms that is particularly useful for robotic applications. A recent state-of-the-art method is Contextual Covariance Matrix Adaptation Evolution Strategies (C-CMA-ES ...
Fabisch, Alexander
core +1 more source
Comparing Mirrored Mutations and Active Covariance Matrix Adaptation in the IPOP-CMA-ES on the Noiseless BBOB Testbed [PDF]
, 2012 International audienceThis paper investigates two variants of the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES). Active covariance matrix adaptation allows for negative weights in the covariance matrix update rule such that "bad ...
Auger, Anne +2 more
core +4 more sources
Interaction of Ladle Slag With Varying SiO2 Content and Recyclate‐Based MgO–C Refractories
Advanced Engineering Materials, EarlyView.Ladle slags (CaO/Al2O3 = 1) with 1–20 wt% SiO2 were investigated in contact with industrial MgO–C refractories fabricated from fresh magnesia and 50 wt% recyclate. The sessile drop method at 1600°C reveals intensive gas formation, delayed slag infiltration in recyclate‐based samples, and, under high‐SiO2 slag, formation of a dense MgAl2O4‐rich ...
Anton Yehorov +6 more
wiley +1 more source
Benchmarking IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless Testbed [PDF]
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015 We benchmark IPOP-CMA-ES, a restart Covariance Matrix Adaptation Evolution Strategy with increasing population size, with two step-size adaptation mechanisms, Two-Point Step-Size Adapation (TPA) and Median Success Rule (MSR), on the BBOB noiseless testbed.
openaire +1 more source