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global-optimization

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Showing 351–400 of 658 papers

TitleStatusHype
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation—0
New hard benchmark functions for global optimization—0
New Optimization Approach Using Clustering-Based Parallel Genetic Algorithm—0
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering—0
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors—0
Nonconvex Global Optimization for Latent-Variable Models—0
Non-Parametric Bayesian Constrained Local Models—0
Non-Stationary Stochastic Global Optimization Algorithms—0
On a New Improvement-Based Acquisition Function for Bayesian Optimization—0
On efficient global optimization via universal Kriging surrogate models—0
One-parameter family of acquisition functions for efficient global optimization—0
Online Local Learning via Semidefinite Programming—0
On the Design of Complex EM Devices and Systems through the System-by-Design Paradigm -- A Framework for Dealing with the Computational Complexity—0
On the impact of topological properties of smart grids in power losses optimization problems—0
On the performance of deep learning for numerical optimization: an application to protein structure prediction—0
On the Relation between two Rotation Metrics—0
On The Verification of Neural ODEs with Stochastic Guarantees—0
Opposition Based ElectromagnetismLike for Global Optimization—0
Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation—0
Optimising portfolio diversification and dimensionality—0
Optimistic Optimization of Gaussian Process Samples—0
Optimization assisted MCMC—0
Optimization-Based Control of Distributed Battery Storage in Distribution Networks—0
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates—0
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study—0
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification—0
Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison—0
Orthogonal Calibration for Asynchronous Federated Learning—0
Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais—0
PanopticSplatting: End-to-End Panoptic Gaussian Splatting—0
Panoramic annular SLAM with loop closure and global optimization—0
Parallel Bayesian Global Optimization of Expensive Functions—0
Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models—0
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions—0
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives—0
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services—0
Penguins Search Optimization Algorithm (PeSOA—0
Performance Analysis and Improvement of Parallel Differential Evolution—0
Permutative redundancy and uncertainty of the objective in deep learning—0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
PFAx: Predictable Feature Analysis to Perform Control—0
Phase-Only Beam Broadening of Contiguous Uniform Subarrayed Arrays Utilizing Three Metaheuristic Global Optimization Techniques—0
Piecewise convexity of artificial neural networks—0
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence—0
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone—0
Potential Based Diffusion Motion Planning—0
Practical Batch Bayesian Optimization for Less Expensive Functions—0
Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions—0
Probabilistic Appearance Models for Segmentation and Classification—0
Probability-One Optimization of Generalized Rayleigh Quotient Sum For Multi-Source Generalized Total Least-Squares—0
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