Image de couverture de livre

Hybrid Random Concentrated Optimization Without Convexity Assumption

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bertrand, Pierre, Broniatowski, Michel, Stummer, Wolfgang
Format:	Preprint
Publié:	2025
Sujets:	Data Analysis, Statistics and Probability
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
par: Lobo, Allen, et autres
Publié: (2025)

Least Squares as Random Walks
par: Kostinski, Alexander, et autres
Publié: (2025)

Model selection for extremal dependence structures using deep learning: Application to environmental data
par: Ahmed, Manaf, et autres
Publié: (2024)

Conditional splitting probabilities for hidden-state inference in drift-diffusive processes
par: Sezik, Emir, et autres
Publié: (2025)

From Atoms to Dynamics: Learning the Committor Without Collective Variables
par: Arredondo, Sergio Contreras, et autres
Publié: (2025)

Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics
par: Shaw, Caleb S., et autres
Publié: (2025)

From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
par: Ray, Rahul D
Publié: (2026)

Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
par: Kirouani, Taki
Publié: (2024)

On the dynamical evolution of randomness Part B: Geometrisation and the origin of convergence in LLN
par: Lobo, Allen
Publié: (2025)

Elephant random walks with graph based shared memory: First and second order asymptotics
par: Das, Deborshi
Publié: (2024)

Adiabatic Approximation of Coarse Grained Second Order Response
par: Müller, Fenna, et autres
Publié: (2022)

Random walks with homotopic spatial inhomogeneities
par: Gomez, Ignacio S, et autres
Publié: (2025)

Full Record Statistics of 1d Random Walks
par: Régnier, Léo, et autres
Publié: (2023)

From Maximum of Intervisit Times to Starving Random Walks
par: Régnier, L., et autres
Publié: (2023)

Composition Law of Conjugate Observables in Random Permutation Sorting Systems
par: Kuang, Yurang R.
Publié: (2025)

q Index Degree Distribution in Random Networks via Superstatistics
par: Wang, Huilin, et autres
Publié: (2024)

From Random Walks to Thermal Rides: Universal Anomalous Transport in Soaring Flights
par: Vilpellet, Jérémie, et autres
Publié: (2026)

Eigenvector Geometry as a New Route to Criticality in Random Multiplicative Systems
par: Troude, Virgile, et autres
Publié: (2025)

Efficient Training of Deep Neural Operator Networks via Randomized Sampling
par: Karumuri, Sharmila, et autres
Publié: (2024)

Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
par: Most, Thomas
Publié: (2024)

Geometric Organization and Inference of Shortest Path Nodes in Soft Random Geometric Graphs
par: Qiu, Zhihao, et autres
Publié: (2026)

Modular Debiasing: A Robust Method for Quantum Randomness Extraction
par: Gueron, Eduardo
Publié: (2025)

Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector
par: Bat, Ayse
Publié: (2024)

Confidence Interval and Uncertainty Propagation Analysis of SAFT-type Equations of State
par: Walker, Pierre J., et autres
Publié: (2023)

Hearing the forest for the trees: machine learning and topological acoustics for remote sensing with seismic noise
par: Wang, Jiayang, et autres
Publié: (2026)

A Numerical Rosenblatt Method for Forced Variable Independence
par: Vavřička, Radek, et autres
Publié: (2025)

Analysis framework for higher-order temporal correlations with applications to human heartbeats
par: Birhanu, Tibebe, et autres
Publié: (2025)

Maximum Information Extraction Via Clustering and Minimization of Shannon Entropy
par: Becchi, Matteo, et autres
Publié: (2025)

Transition of AI Models in dependence of noise
par: Seidler, Thomas, et autres
Publié: (2025)

Copula-based analytical results of horizontal visibility graphs for correlated time series
par: Lee, Jeong-Min, et autres
Publié: (2025)

Comment on Frank Porter, "Confidence intervals for the Poisson distribution"
par: Cousins, Robert D.
Publié: (2025)

Numerical study of high-dimensional covariance estimation and localization for data assimilation
par: Gilpin, Shay, et autres
Publié: (2025)

Relative Advantage: Quantifying Performance in Noisy Competitive Settings
par: Brown, M. R., et autres
Publié: (2025)

A skeletonization based image segmentation algorithm to isolate slender regions in 3D microstructures
par: Deshpande, Vinit Vijay, et autres
Publié: (2025)

Sparse identification of evolution equations via Bayesian model selection
par: Kroll, Tim W., et autres
Publié: (2025)

Maximum likelihood estimation of burst-merging kernels for bursty time series
par: Birhanu, Tibebe, et autres
Publié: (2025)

Confidence intervals for the Poisson distribution
par: Porter, Frank C.
Publié: (2025)

Disentangling sources of multifractality in time series
par: Kluszczyński, Robert, et autres
Publié: (2025)

Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation Spectroscopy
par: Tosson, Amir, et autres
Publié: (2025)

High-Performance Data Format for Scientific Data Storage and Analysis
par: Gavalian, Gagik
Publié: (2025)