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Sandro Ridella

University of Genoa

28H指数
200论文数
4.6K被引数
收录论文 28
发表时间
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Reconciling grokking with statistical learning theory through the lens of norm- and stability-based generalization bounds通过基于范数和稳定性的泛化边界，将grokking与统计学习理论相协调
errNeurocomputing
IF6.5
err2026-01-28
err0
errOAAI
errLuca Oneto; Sandro Ridella; Simone Minisi; Andrea Coraddu; Davide Anguita
err分享
err收藏
Towards algorithms and models that we can trust: A theoretical perspective走向我们可以信任的算法和模型: 理论视角
errNEUROCOMPUTING
IF6.5
err2024-08-01
err0
errOAAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Do we really need a new theory to understand over-parameterization?我们真的需要一个新的理论来理解过度参数化吗？
errNEUROCOMPUTING
IF6.5
err2023-07-01
err10
errOAAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
The benefits of adversarial defense in generalization对抗性防御的好处
errNEUROCOMPUTING
IF6.5
err2022-09-01
err3
errOAAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Local Rademacher Complexity Machine局部Rademacher复杂性机器
errNEUROCOMPUTING
IF6.5
err2019-05-01
err2
PREAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels使用内核学习: 基于局部Rademacher复杂性的分析及其在图形内核中的应用
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2018-10-01
err6
PREAI
errOneto, Luca; Navarin, Nicolo; Donini, Michele; Ridella, Sandro; Sperduti, Alessandro; Aiolli, Fabio; Anguita, Davide
err分享
err收藏
Randomized learning: Generalization performance of old and new theoretically grounded algorithms随机学习: 新旧理论基础算法的泛化性能
errNEUROCOMPUTING
IF6.5
err2018-07-01
err5
PREAI
errOneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Differential privacy and generalization: Sharper bounds with applications差分隐私和泛化: 应用程序的更清晰界限
errPATTERN RECOGNITION LETTERS
IF3.3
err2017-04-01
err20
PREAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
A local Vapnik-Chervonenkis complexity
errNEURAL NETWORKS
IF6.3
err2016-10-01
err11
PREAI
errOneto, Luca; Anguita, Davide; Ridella, Sandro
err分享
err收藏
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis分布相关先验的pac-bayes分析: 更严格的风险范围和稳定性分析
errPATTERN RECOGNITION LETTERS
IF3.3
err2016-09-01
err14
PREAI
errOneto, Luca; Anguita, Davide; Ridella, Sandro
err分享
err收藏
Learning Hardware-Friendly Classifiers Through Algorithmic Stability通过算法稳定性学习硬件友好的分类器
errACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS
IF2.6
err2016-01-29
err5
PREAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Tikhonov, Ivanov and Morozov regularization for support vector machine learning支持向量机学习的Tikhonov，Ivanov和Morozov正则化
errMACHINE LEARNING
IF2.9
err2015-12-22
err48
errOAAI
errOneto, Luca; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency
errNEUROCOMPUTING
IF6.5
err2015-12-01
err10
PREAI
errOneto, Luca; Ghio, Alessandro; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Fully Empirical and Data-Dependent Stability-Based Bounds
errIEEE TRANSACTIONS ON CYBERNETICS
IF10.5
err2015-09-01
err23
PREAI
errOneto, Luca; Ghio, Alessandro; Ridella, Sandro; Anguita, Davide
err分享
err收藏
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples
errNEURAL NETWORKS
IF6.3
err2015-05-01
err26
PREAI
errOneto, Luca; Ghio, Alessandro; Ridella, Sandro; Anguita, Davide
err分享
err收藏
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2014-12-01
err20
PREAI
errAnguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
err分享
err收藏
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers
errPATTERN RECOGNITION LETTERS
IF3.3
err2014-02-01
err8
PREAI
errAnguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
err分享
err收藏
An improved analysis of the Rademacher data-dependent bound using its self bounding property
errNEURAL NETWORKS
IF6.3
err2013-08-01
err13
PREAI
errOneto, Luca; Ghio, Alessandro; Anguita, Davide; Ridella, Sandro
err分享
err收藏
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2012-09-01
err97
PREAI
errAnguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
err分享
err收藏
Learning the mean: A neural network approach
errNEUROCOMPUTING
IF6.5
err2012-02-01
err3
PREAI
errDecherchi, Sergio; Parodi, Mauro; Ridella, Sandro
err分享
err收藏

研究方向

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合作学者
合作期刊
D
Davide Anguita
H 指数: 40 · 论文数: 280
A
Alessandro Sperduti
H 指数: 39 · 论文数: 335
L
Luca Oneto
H 指数: 36 · 论文数: 335
A
Andrea Coraddu
H 指数: 28 · 论文数: 178
A
Alessandro Ghio
H 指数: 26 · 论文数: 130
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