:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Padilla, Carlos Misael Madrid, Padilla, Oscar Hernan Madrid, Kei, Yik Lun, Zhang, Zhi, Chen, Yanzhen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2412.20355
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dense ReLU Neural Networks for Temporal-spatial Model
par: Padilla, Carlos Misael Madrid, et autres
Publié: (2024)

Change Point Detection on A Separable Model for Dynamic Networks
par: Kei, Yik Lun, et autres
Publié: (2023)

Risk Bounds For Distributional Regression
par: Padilla, Carlos Misael Madrid, et autres
Publié: (2025)

Variance estimation in graphs with the fused lasso
par: Padilla, Oscar Hernan Madrid
Publié: (2022)

A causal fused lasso for interpretable heterogeneous treatment effects estimation
par: Padilla, Oscar Hernan Madrid, et autres
Publié: (2021)

Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
par: Kei, Yik Lun, et autres
Publié: (2024)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
par: Kumar, Shivam, et autres
Publié: (2025)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
par: Matabuena, Marcos, et autres
Publié: (2024)

Multivariate Poisson intensity estimation via low-rank tensor decomposition
par: Xu, Haotian, et autres
Publié: (2025)

Change Point Localization and Inference in Dynamic Multilayer Networks
par: Wang, Fan, et autres
Publié: (2025)

Robust and Scalable Variational Bayes
par: Padilla, Carlos Misael Madrid, et autres
Publié: (2025)

Decoder-only Clustering in Attributed Graphs
par: Kei, Yik Lun, et autres
Publié: (2025)

Network two-sample test for block models
par: Nguen, Chung Kyong, et autres
Publié: (2024)

Quantile Additive Trend Filtering
par: Zhang, Zhi, et autres
Publié: (2023)

Bayesian variance change point detection with credible sets
par: Cappello, Lorenzo, et autres
Publié: (2022)

High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
par: Ruiz, Gabriel, et autres
Publié: (2022)

The Geometry of ReLU Networks through the ReLU Transition Graph
par: Dhayalkar, Sahil Rajesh
Publié: (2025)

Bayesian Transfer Learning for Enhanced Estimation and Inference
par: Lai, Daoyuan, et autres
Publié: (2024)

Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs
par: Dhayalkar, Sahil Rajesh
Publié: (2025)

N-ReLU: Zero-Mean Stochastic Extension of ReLU
par: Manik, Md Motaleb Hossen, et autres
Publié: (2025)

The Resurrection of the ReLU
par: Horuz, Coşku Can, et autres
Publié: (2025)

ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
par: Qiu, Qi, et autres
Publié: (2024)

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
par: Sun, Xiaotong, et autres
Publié: (2024)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
par: Matabuena, Marcos, et autres
Publié: (2025)

A Bayesian framework for change-point detection with uncertainty quantification
par: Berlind, Davis, et autres
Publié: (2025)

Pathwise Explanation of ReLU Neural Networks
par: Lim, Seongwoo, et autres
Publié: (2025)

Stochastic Bandits with ReLU Neural Networks
par: Xu, Kan, et autres
Publié: (2024)

On Space Folds of ReLU Neural Networks
par: Lewandowski, Michal, et autres
Publié: (2025)

Topological Expressivity of ReLU Neural Networks
par: Ergen, Ekin, et autres
Publié: (2023)

Three Quantization Regimes for ReLU Networks
par: Ou, Weigutian, et autres
Publié: (2024)

The Symmetries of Three-Layer ReLU Networks
par: Gegenfurtner, Johanna Marie, et autres
Publié: (2026)

Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks
par: Harzli, Ouns El, et autres
Publié: (2026)

Optimal Sets and Solution Paths of ReLU Networks
par: Mishkin, Aaron, et autres
Publié: (2023)

On Size-Independent Sample Complexity of ReLU Networks
par: Sellke, Mark
Publié: (2023)

Online Realizable Regression and Applications for ReLU Networks
par: Doron-Arad, Ilan, et autres
Publié: (2026)

Convexity in ReLU Neural Networks: beyond ICNNs?
par: Gagneux, Anne, et autres
Publié: (2025)

ReLU-Based and DNN-Based Generalized Maximum Score Estimators
par: Chen, Xiaohong, et autres
Publié: (2025)

Is ReLU Adversarially Robust?
par: Sooksatra, Korn, et autres
Publié: (2024)

When Are Bias-Free ReLU Networks Effectively Linear Networks?
par: Zhang, Yedi, et autres
Publié: (2024)

Hidden Minima in Two-Layer ReLU Networks
par: Arjevani, Yossi
Publié: (2023)