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global-optimization

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Showing 101–125 of 658 papers

TitleStatusHype
An Enhancement of Cuckoo Search Algorithm for Optimal Earthquake Evacuation Space Allocation in Intramuros, Manila City—0
MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation—0
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications—0
Benchmarking global optimization techniques for unmanned aerial vehicle path planning—0
Light3R-SfM: Towards Feed-forward Structure-from-Motion—0
Co-Learning Bayesian Optimization—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective—0
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification—0
Dimensionality Reduction Techniques for Global Bayesian Optimisation—0
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone—0
Global Optimization with A Power-Transformed Objective and Gaussian SmoothingCode0
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems—0
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning—0
A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm—0
Permutative redundancy and uncertainty of the objective in deep learning—0
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs—0
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs—0
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Super Gradient Descent: Global Optimization requires Global Gradient—0
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation—0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
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