Imagen de Portada

On the choice of the non-trainable internal weights in random feature maps

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mandal, Pinak, Gottwald, Georg A., Cranch, Nicholas
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Data Analysis, Statistics and Probability Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning dynamical systems with hit-and-run random feature maps
por: Mandal, Pinak, et al.
Publicado: (2025)

Bayesian Hierarchical Models and the Maximum Entropy Principle
por: Brewer, Brendon J.
Publicado: (2026)

Reliable data clustering with Bayesian community detection
por: Neuman, Magnus, et al.
Publicado: (2025)

Towards Continuous-time Causal Foundation Models
por: Thumm, Dennis, et al.
Publicado: (2026)

Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
por: Malpica-Morales, Antonio, et al.
Publicado: (2024)

Practically Effective Adjustment Variable Selection in Causal Inference
por: Noda, Atsushi, et al.
Publicado: (2025)

A statistical mechanics approach to de-biasing and uncertainty estimation in LASSO for random measurements
por: Takahashi, Takashi, et al.
Publicado: (2018)

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
por: Dabo, Issa-Mbenard, et al.
Publicado: (2025)

A low-rank ensemble Kalman filter for elliptic observations
por: Provost, Mathieu Le, et al.
Publicado: (2022)

Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease
por: Ontivero-Ortega, M., et al.
Publicado: (2025)

Local statistical moments to capture Kramers-Moyal coefficients
por: Wiedemann, Christian, et al.
Publicado: (2024)

Assessing high-order effects in feature importance via predictability decomposition
por: Ontivero-Ortega, Marlis, et al.
Publicado: (2024)

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series
por: Nguyen, Aria, et al.
Publicado: (2024)

Identifying Intended Effects with Causal Models
por: Compagno, Dario
Publicado: (2024)

Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes
por: Sánchez, Hernán R., et al.
Publicado: (2024)

Disentangling high order effects in the transfer entropy
por: Stramaglia, Sebastiano, et al.
Publicado: (2024)

Identifiability and improper solutions in the probabilistic partial least squares regression with unique variance
por: Arai, Takashi
Publicado: (2025)

Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
por: Ritmeester, Tim
Publicado: (2026)

Testing of tempered fractional Brownian motions
por: Macioszek, Katarzyna, et al.
Publicado: (2025)

Variational Dimension Lifting for Robust Tracking of Nonlinear Stochastic Dynamics
por: Ashenafi, Yonatan L.
Publicado: (2026)

Linear scaling causal discovery from high-dimensional time series by dynamical community detection
por: Allione, Matteo, et al.
Publicado: (2025)

Identifiable factor analysis for mixed continuous and binary variables based on the Gaussian-Grassmann distribution
por: Arai, Takashi
Publicado: (2025)

Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation
por: Destouches, Mayeul, et al.
Publicado: (2023)

Thermodynamically rational decision making under uncertainty
por: Daimer, Dorian, et al.
Publicado: (2023)

Dissecting Spectral Granger Causality through Partial Information Decomposition
por: Faes, Luca, et al.
Publicado: (2026)

Preserving linear invariants in ensemble filtering methods
por: Provost, Mathieu Le, et al.
Publicado: (2024)

Hierarchical topological clustering
por: Carpio, Ana, et al.
Publicado: (2025)

Particle Filtering for Non-Deterministic Electrocardiographic Imaging
por: Lagracie, Emma, et al.
Publicado: (2025)

Least Squares as Random Walks
por: Kostinski, Alexander, et al.
Publicado: (2025)

Testing maximum entropy models with e-values
por: Giuffrida, Francesca, et al.
Publicado: (2025)

Development of a high-resolution indoor radon map using a new machine learning-based probabilistic model and German radon survey data
por: Petermann, Eric, et al.
Publicado: (2023)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
por: Miyatake, Yuto, et al.
Publicado: (2024)

PoissonRatioUQ: An R package for band ratio uncertainty quantification
por: LeDuc, Matthew, et al.
Publicado: (2026)

Resolution of Simpson's paradox via the common cause principle
por: Hovhannisyan, A., et al.
Publicado: (2024)

On the statistical analysis of grouped data: when Pearson $χ^2$ and other divisible statistics are not goodness-of-fit tests
por: Algeri, Sara, et al.
Publicado: (2024)

Tunable correlation retention: A statistical method for generating synthetic data
por: Jävergård, Nicklas, et al.
Publicado: (2024)

Statistical limits of correlation detection in trees
por: Ganassali, Luca, et al.
Publicado: (2022)

Regularization of the ensemble Kalman filter using a non-parametric, non-stationary spatial model
por: Tsyrulnikov, Michael, et al.
Publicado: (2023)

Parsimonious Dynamic Mode Decomposition: A Robust and Automated Approach for Optimally Sparse Mode Selection in Complex Systems
por: Das, Arpan, et al.
Publicado: (2024)

Potential-energy gating for robust state estimation in bistable stochastic systems
por: Simeone, Luigi
Publicado: (2026)