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global-optimization

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Showing 401–450 of 658 papers

TitleStatusHype
Geocoding of trees from street addresses and street-level images—0
Uncertainty Quantification for Bayesian Optimization—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Consensus-Based Optimization on Hypersurfaces: Well-Posedness and Mean-Field Limit—0
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine LearningCode0
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
Fractional order graph neural network—0
DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problemsCode0
Adaptive Bayesian ReticulumCode0
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES—0
Analysis of the Optimization Landscapes for Overcomplete Representation Learning—0
Bayesian optimization with local search—0
Multi-Attribute Bayesian Optimization With Interactive Preference Learning—0
MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization—0
High-dimensional Black-box Optimization Under Uncertainty—0
Machine Learning for high speed channel optimization—0
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited—0
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System—0
Large Scale Global Optimization by Hybrid Evolutionary Computation—0
Scalable Global Optimization via Local Bayesian OptimizationCode0
Fitting IVIM with Variable Projection and Simplicial Optimization—0
Fully Polynomial-Time Randomized Approximation Schemes for Global Optimization of High-Dimensional Folded Concave Penalized Generalized Linear Models—0
Global optimization of parameters in the reactive force field ReaxFF for SiOH—0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation—0
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited—0
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework—0
pySOT and POAP: An event-driven asynchronous framework for surrogate optimizationCode0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
Sparse Optimization on Measures with Over-parameterized Gradient DescentCode0
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties—0
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts—0
Global Optimization under Length Constraint for Neural Text Summarization—0
Distributed Optimization for Smart Cyber-Physical Networks—0
Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks—0
Symbolic regression by uniform random global searchCode0
Simulator-based training of generative models for the inverse design of metasurfaces—0
Global optimization via inverse distance weighting and radial basis functions—0
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity—0
Optimising portfolio diversification and dimensionality—0
Testing that a Local Optimum of the Likelihood is Globally Optimum using Reparameterized Embeddings—0
Neural Metric Learning for Fast End-to-End Relation Extraction—0
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy—0
Global optimization of dielectric metasurfaces using a physics-driven neural network—0
Bayesian Optimization using Deep Gaussian Processes—0
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction—0
Fourier Transform Approach to Machine Learning II: Fourier Clustering—0
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms—0
A neural network-based framework for financial model calibration—0
Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches—0
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