Copertina

LIPO+: Frugal Global Optimization for Lipschitz Functions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Serré, Gaëtan, Beja-Battais, Perceval, Chirrane, Sophia, Kalogeratos, Argyris, Vayatis, Nicolas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control Probability
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Unifying Framework for Global Optimization: From Theory to Formalization
di: Serré, Gaëtan, et al.
Pubblicazione: (2025)

GLOBe: A Modular Global Optimization library
di: Serré, Gaëtan, et al.
Pubblicazione: (2026)

Stein Boltzmann Sampling: A Variational Approach for Global Optimization
di: Serré, Gaëtan, et al.
Pubblicazione: (2024)

Enhancing Exploration in Global Optimization by Noise Injection in the Probability Measures Space
di: Serré, Gaëtan, et al.
Pubblicazione: (2026)

Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization
di: Beja-Battais, Perceval, et al.
Pubblicazione: (2026)

Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
di: Beja-Battais, Perceval, et al.
Pubblicazione: (2025)

Particle Filter Optimization: A Bayesian Approach for Global Stochastic Optimization
di: Eslami, Mostafa, et al.
Pubblicazione: (2024)

Lipschitz solutions to mean field games with a major player and applications
di: Meynard, Charles
Pubblicazione: (2026)

Markov decision processes: on the convergence of the Monte-Carlo first visit algorithm
di: Delattre, Sylvain, et al.
Pubblicazione: (2025)

Reoptimization Nearly Solves Weakly Coupled Markov Decision Processes
di: Gast, Nicolas, et al.
Pubblicazione: (2022)

Global-in-time optimal control of stochastic third-grade fluids with additive noise
di: Kinra, Kush, et al.
Pubblicazione: (2025)

Chance-Constrained Optimization with Complex Variables
di: Madani, Raneem, et al.
Pubblicazione: (2025)

Solving non-Markovian Stochastic Control Problems driven by Wiener Functionals
di: Leão, Dorival, et al.
Pubblicazione: (2020)

An Unconstrained Optimization Approach to Moment Fitting with Phase Type Distributions
di: Sherzer, Eliran, et al.
Pubblicazione: (2025)

Optimization Based Data Enrichment Using Stochastic Dynamical System Models
di: Kearney, Griffin M., et al.
Pubblicazione: (2023)

Model Risk Static-Hedging a Constrained Distributionally Robust Optimization approach
di: Sauldubois, Nathan
Pubblicazione: (2026)

Random Walks with Traversal Costs: Variance-Aware Performance Analysis and Network Optimization
di: Le, Thao, et al.
Pubblicazione: (2026)

Geometric Trajectory Optimization for TRACON Arrivals: An NLP Approach with ATC Vectoring Maneuver Modeling
di: Pang, Yutian, et al.
Pubblicazione: (2026)

Optimization of inventory and capacity in large-scale assembly systems using extreme-value theory
di: Meijer, Mirjam S., et al.
Pubblicazione: (2021)

Revisiting Stochastic Realization Theory using Functional Itô Calculus
di: Veeravalli, Tanya, et al.
Pubblicazione: (2024)

Two-Stage Distributionally Robust Optimization: Intuitive Understanding and Algorithm Development from the Primal Perspective
di: Lu, Zhengsong, et al.
Pubblicazione: (2024)

Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
di: Sato, Kanji, et al.
Pubblicazione: (2022)

Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization
di: Ha, Yunsoo, et al.
Pubblicazione: (2023)

A Non-convex Optimization Approach of Searching Algebraic Degree Phase-type Representations for General Phase-type Distributions
di: Liu, Yujie, et al.
Pubblicazione: (2024)

Trajectory-Based Optimization for Air Traffic Control in the Terminal Maneuvering Area
di: Pang, Yutian, et al.
Pubblicazione: (2026)

Scenario-based Regularization: A Tractable Framework for Distributionally Robust Stochastic Optimization
di: Fonseca, Diego, et al.
Pubblicazione: (2025)

Model Predictive Control is Almost Optimal for Restless Bandit
di: Gast, Nicolas, et al.
Pubblicazione: (2024)

Model Predictive Control is almost Optimal for Heterogeneous Restless Multi-armed Bandits
di: Narasimha, Dheeraj, et al.
Pubblicazione: (2025)

Global Regularity Estimates for Optimal Transport via Entropic Regularisation
di: Gozlan, Nathael, et al.
Pubblicazione: (2025)

A Generalization Result for Convergence in Learning-to-Optimize
di: Sucker, Michael, et al.
Pubblicazione: (2024)

A Distributional View of High Dimensional Optimization
di: Benning, Felix
Pubblicazione: (2025)

Continuous-time optimal control for trajectory planning under uncertainty
di: Valli, Ange, et al.
Pubblicazione: (2024)

A Probabilistic Approach to Shape Derivatives
di: Schlegel, Luka, et al.
Pubblicazione: (2024)

Distributionally robust monopoly pricing: Switching from low to high prices in volatile markets
di: van Eck, Tim S. G., et al.
Pubblicazione: (2024)

Dynamic Coalition Portfolio Selection with Recursive Utility
di: Wang, Hanxiao, et al.
Pubblicazione: (2024)

Corrections to and improvements on results from "The Laplacian spectrum of large graphs sampled from graphons"
di: Garin, Federica, et al.
Pubblicazione: (2024)

Extended mean-field control problems with Poissonian common noise: Stochastic maximum principle and Hamiltonian-Jacobi-Bellman equation
di: Bo, Lijun, et al.
Pubblicazione: (2024)

Optimal Risk-Sensitive Scheduling Policies for Remote Estimation of Autoregressive Markov Processes
di: Dutta, Manali, et al.
Pubblicazione: (2024)

Partial Backorder Inventory System: Asymptotic Optimality and Demand Learning
di: Lim, Andrew E. B., et al.
Pubblicazione: (2024)

Deciding Bank Interest Rates -- A Major-Minor Impulse Control Mean-Field Game Perspective
di: Chen, Fan, et al.
Pubblicazione: (2024)