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global-optimization

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Showing 451–500 of 658 papers

TitleStatusHype
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications—0
Stability-informed Bayesian Optimization for MPC Cost Function Learning—0
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization—0
Stochastic Global Optimization Algorithms: A Systematic Formal Approach—0
Stochastic Gradient Langevin Dynamics with Variance Reduction—0
Stochastic Learning Equation using Monotone Increasing Resolution of Quantization—0
Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining—0
StochasticRank: Global Optimization of Scale-Free Discrete Functions—0
Stratified Bayesian Optimization—0
Structure Learning for Optimization—0
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization—0
Sub- Diving Labeling Method for Optimization Problem by Genetic Algorithm—0
Super Gradient Descent: Global Optimization requires Global Gradient—0
Supervised Exponential Family Principal Component Analysis via Convex Optimization—0
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization—0
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs—0
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES—0
Tensor Train for Global Optimization Problems in Robotics—0
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions—0
Testing that a Local Optimum of the Likelihood is Globally Optimum using Reparameterized Embeddings—0
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting—0
The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization—0
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
The Global Optimization Geometry of Shallow Linear Neural Networks—0
The Knowledge Gradient Policy Using A Sparse Additive Belief Model—0
ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets—0
The True Destination of EGO is Multi-local Optimization—0
Thinking inside the box: A tutorial on grey-box Bayesian optimization—0
Time-Modulated EM Skins for Integrated Sensing and Communications—0
Time series modeling by a regression approach based on a latent process—0
Top-Down Regularization of Deep Belief Networks—0
Toward an ImageNet Library of Functions for Global Optimization Benchmarking—0
Training Neural Networks using SAT solvers—0
TREGO: a Trust-Region Framework for Efficient Global Optimization—0
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System—0
TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents—0
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization—0
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction—0
Unbounded Bayesian Optimization via Regularization—0
Uncertainty Quantification for Bayesian Optimization—0
Understanding Memory B Cell Selection—0
Unsupervised spectral-band feature identification for optimal process discrimination—0
Update Strength in EDAs and ACO: How to Avoid Genetic Drift—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization—0
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais—0
Variable-fidelity expected improvement method for efficient global optimization of expensive functions—0
Vehicle Speed Prediction using Deep Learning—0
Video Region Annotation with Sparse Bounding Boxes—0
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