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Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to
  Novel Algorithms

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms

14 June 2015
Yunwen Lei
Ürün Dogan
Alexander Binder
Marius Kloft
ArXivPDFHTML

Papers citing "Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms"

33 / 33 papers shown
Title
Towards Exact Computation of Inductive Bias
Towards Exact Computation of Inductive Bias
Akhilan Boopathy
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
57
0
0
22 Jun 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep
  ReLU Networks
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks
Tiancong Zhou
X. Huo
18
4
0
15 Aug 2023
Model-agnostic Measure of Generalization Difficulty
Model-agnostic Measure of Generalization Difficulty
Akhilan Boopathy
Kevin Liu
Jaedong Hwang
Shu Ge
Asaad Mohammedsaleh
Ila Fiete
83
4
0
01 May 2023
Generalization Analysis for Contrastive Representation Learning
Generalization Analysis for Contrastive Representation Learning
Yunwen Lei
Tianbao Yang
Yiming Ying
Ding-Xuan Zhou
33
8
0
24 Feb 2023
Generalization Analysis on Learning with a Concurrent Verifier
Generalization Analysis on Learning with a Concurrent Verifier
Masaaki Nishino
Kengo Nakamura
Norihito Yasuda
39
1
0
11 Oct 2022
Generalization Bounds for Stochastic Gradient Descent via Localized
  $\varepsilon$-Covers
Generalization Bounds for Stochastic Gradient Descent via Localized ε\varepsilonε-Covers
Sejun Park
Umut Simsekli
Murat A. Erdogdu
49
9
0
19 Sep 2022
Generalization for multiclass classification with overparameterized
  linear models
Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian
Rahul Arya
A. Sahai
AI4CE
37
9
0
03 Jun 2022
Linear Algorithms for Robust and Scalable Nonparametric Multiclass
  Probability Estimation
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation
Liyun Zeng
Hao Helen Zhang
22
2
0
25 May 2022
Benign Overfitting in Multiclass Classification: All Roads Lead to
  Interpolation
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang
Vidya Muthukumar
Christos Thrampoulidis
28
48
0
21 Jun 2021
Fine-grained Generalization Analysis of Structured Output Prediction
Fine-grained Generalization Analysis of Structured Output Prediction
Waleed Mustafa
Yunwen Lei
Antoine Ledent
Marius Kloft
13
9
0
31 May 2021
Fine-grained Generalization Analysis of Vector-valued Learning
Fine-grained Generalization Analysis of Vector-valued Learning
Liang Wu
Antoine Ledent
Yunwen Lei
Marius Kloft
27
9
0
29 Apr 2021
Modeling Multi-Label Action Dependencies for Temporal Action
  Localization
Modeling Multi-Label Action Dependencies for Temporal Action Localization
Praveen Tirupattur
Kevin Duarte
Yogesh S Rawat
M. Shah
21
56
0
04 Mar 2021
Multi-label classification: do Hamming loss and subset accuracy really
  conflict with each other?
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
Guoqiang Wu
Jun Zhu
17
27
0
16 Nov 2020
Theoretical Insights Into Multiclass Classification: A High-dimensional
  Asymptotic View
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
Christos Thrampoulidis
Samet Oymak
Mahdi Soltanolkotabi
27
41
0
16 Nov 2020
Predicting Classification Accuracy When Adding New Unobserved Classes
Predicting Classification Accuracy When Adding New Unobserved Classes
Y. Slavutsky
Y. Benjamini
19
2
0
28 Oct 2020
Optimistic bounds for multi-output prediction
Optimistic bounds for multi-output prediction
Henry W. J. Reeve
A. Kabán
28
8
0
22 Feb 2020
Generalization Bounds in the Predict-then-Optimize Framework
Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti
Adam N. Elmachtoub
Paul Grigas
Ambuj Tewari
14
66
0
27 May 2019
A Generalization Error Bound for Multi-class Domain Generalization
A Generalization Error Bound for Multi-class Domain Generalization
A. Deshmukh
Yunwen Lei
Srinagesh Sharma
Ürün Dogan
J. Cutler
Clayton Scott
18
36
0
24 May 2019
Risk Bounds for Learning Multiple Components with Permutation-Invariant
  Losses
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
Fabien Lauer
15
4
0
16 Apr 2019
Rademacher Complexity and Generalization Performance of Multi-category
  Margin Classifiers
Rademacher Complexity and Generalization Performance of Multi-category Margin Classifiers
Khadija Musayeva
Fabien Lauer
Y. Guermeur
24
13
0
03 Dec 2018
MEMOIR: Multi-class Extreme Classification with Inexact Margin
MEMOIR: Multi-class Extreme Classification with Inexact Margin
Anton Belyy
A. Sholokhov
23
1
0
24 Nov 2018
Combinatorial and Structural Results for gamma-Psi-dimensions
Combinatorial and Structural Results for gamma-Psi-dimensions
Y. Guermeur
11
1
0
19 Sep 2018
Handling Concept Drift via Model Reuse
Handling Concept Drift via Model Reuse
Peng Zhao
Le-Wen Cai
Zhi-Hua Zhou
11
54
0
08 Sep 2018
Structure-aware error bounds for linear classification with the zero-one
  loss
Structure-aware error bounds for linear classification with the zero-one loss
A. Kabán
R. Durrant
20
6
0
28 Sep 2017
Data-dependent Generalization Bounds for Multi-class Classification
Data-dependent Generalization Bounds for Multi-class Classification
Yunwen Lei
Ürün Dogan
Ding-Xuan Zhou
Marius Kloft
AI4CE
20
4
0
29 Jun 2017
Distributed Optimization of Multi-Class SVMs
Distributed Optimization of Multi-Class SVMs
Maximilian Alber
Julian Zimmert
Ürün Dogan
Marius Kloft
VLM
11
13
0
25 Nov 2016
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
Y. Guermeur
24
21
0
26 Sep 2016
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised
  Algorithm
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm
Yury Maximov
Massih-Reza Amini
Zaïd Harchaoui
17
33
0
02 Jul 2016
Bounds for Vector-Valued Function Estimation
Bounds for Vector-Valued Function Estimation
Andreas Maurer
Massimiliano Pontil
24
7
0
05 Jun 2016
Structured Prediction Theory Based on Factor Graph Complexity
Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes
M. Mohri
Vitaly Kuznetsov
Scott Yang
OOD
30
55
0
20 May 2016
A vector-contraction inequality for Rademacher complexities
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
16
253
0
01 May 2016
Optimal Margin Distribution Machine
Optimal Margin Distribution Machine
Teng Zhang
Zhi-Hua Zhou
28
72
0
12 Apr 2016
Local Rademacher Complexity Bounds based on Covering Numbers
Local Rademacher Complexity Bounds based on Covering Numbers
Yunwen Lei
L. Ding
Yingzhou Bi
21
22
0
06 Oct 2015
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