:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Demni, Nizar, Kadri, Hachem
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Probability
Acceso en línea:	https://arxiv.org/abs/2310.07370
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Finite free probability and $S$ transforms of Jacobi processes
por: Demni, Nizar, et al.
Publicado: (2025)

Moments of the free Jacobi process: a matrix approach
por: Demni, Nizar, et al.
Publicado: (2024)

Sharp Matrix Empirical Bernstein Inequalities
por: Wang, Hongjian, et al.
Publicado: (2024)

Brownian motion and stochastic areas on complex full flag manifolds
por: Baudoin, Fabrice, et al.
Publicado: (2025)

Spectral distribution of the free Jacobi process with equal rank projections
por: Demni, Nizar, et al.
Publicado: (2025)

Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
por: Shen, Yinan, et al.
Publicado: (2026)

Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on $\mathbb{so}(d)$
por: Daniely, Amit
Publicado: (2025)

Power-Law Spectrum of the Random Feature Model
por: Paquette, Elliot, et al.
Publicado: (2026)

Random Quadratic Form on a Sphere: Synchronization by Common Noise
por: Engel, Maximilian, et al.
Publicado: (2026)

Sharp bounds for max-sliced Wasserstein distances
por: Boedihardjo, March T.
Publicado: (2024)

Sharp bounds on aggregate expert error
por: Kontorovich, Aryeh, et al.
Publicado: (2024)

Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
por: Caprio, Michele, et al.
Publicado: (2026)

Inequalities for Optimization of Classification Algorithms: A Perspective Motivated by Diagnostic Testing
por: Patrone, Paul N., et al.
Publicado: (2025)

Generalization Bounds for Sparse Random Feature Expansions
por: Hashemi, Abolfazl, et al.
Publicado: (2021)

Spectral Structure in Finite Free Information Inequalities and $p$-Stam Phase Transitions
por: Hashemi, Baran
Publicado: (2026)

Improved Approximation Algorithms for Orthogonally Constrained Problems Using Semidefinite Optimization
por: Cory-Wright, Ryan, et al.
Publicado: (2025)

Benign Overfitting with Quantum Kernels
por: Tomasi, Joachim, et al.
Publicado: (2025)

$C^*$-Algebraic Machine Learning: Moving in a New Direction
por: Hashimoto, Yuka, et al.
Publicado: (2024)

Learning in RKHM: a $C^*$-Algebraic Twist for Kernel Machines
por: Hashimoto, Yuka, et al.
Publicado: (2022)

Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials
por: Chen, August Y., et al.
Publicado: (2024)

Dissimilar Batch Decompositions of Random Datasets
por: Ganesan, Ghurumuruhan
Publicado: (2025)

Reconstructing the Geometry of Random Geometric Graphs
por: Huang, Han, et al.
Publicado: (2024)

Free Random Projection for In-Context Reinforcement Learning
por: Hayase, Tomohiro, et al.
Publicado: (2025)

Random-Bridges as Stochastic Transports for Generative Models
por: Goria, Stefano, et al.
Publicado: (2025)

Random ReLU Neural Networks as Non-Gaussian Processes
por: Parhi, Rahul, et al.
Publicado: (2024)

Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence
por: de Frutos, José Manuel, et al.
Publicado: (2025)

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
por: Lebeau, Hugo, et al.
Publicado: (2024)

Weighted Random Dot Product Graphs
por: Marenco, Bernardo, et al.
Publicado: (2025)

Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
por: Zhang, Yihan
Publicado: (2026)

Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
por: Basiri, Salar, et al.
Publicado: (2022)

Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
por: Hemdanou, Abderrafik Laakel, et al.
Publicado: (2025)

Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
por: Li, Matthew T. C., et al.
Publicado: (2024)

Self-Repellent Random Walks on General Graphs -- Achieving Minimal Sampling Variance via Nonlinear Markov Chains
por: Doshi, Vishwaraj, et al.
Publicado: (2023)

Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
por: Ning, Ning
Publicado: (2022)

Reinforcement Learning with Random Time Horizons
por: Borrell, Enric Ribera, et al.
Publicado: (2025)

On Statistical Estimation of Edge-Reinforced Random Walks
por: Qinghua, et al.
Publicado: (2025)

Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection
por: Jiang, Xiaolin, et al.
Publicado: (2024)

Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
por: Hashimoto, Yuka, et al.
Publicado: (2024)

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
por: Kadri, Hachem, et al.
Publicado: (2025)

Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2026)