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Maximum Margin Multiclass Nearest Neighbors

Maximum Margin Multiclass Nearest Neighbors

International Conference on Machine Learning (ICML), 2014
30 January 2014
A. Kontorovich
Roi Weiss
ArXiv (abs)PDFHTML

Papers citing "Maximum Margin Multiclass Nearest Neighbors"

16 / 16 papers shown
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Approximation-Generalization Trade-offs under (Approximate) Group EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Mircea Petrache
Shubhendu Trivedi
346
39
0
27 May 2023
Protecting Split Learning by Potential Energy Loss
Protecting Split Learning by Potential Energy LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Fei Zheng
Chaochao Chen
Lingjuan Lyu
Xinyi Fu
Xing Fu
Weiqiang Wang
Xiaolin Zheng
Jianwei Yin
237
6
0
18 Oct 2022
Reliable Estimation of KL Divergence using a Discriminator in
  Reproducing Kernel Hilbert Space
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
S. Ghimire
A. Masoomi
Jennifer Dy
139
14
0
29 Sep 2021
Classification in asymmetric spaces via sample compression
Classification in asymmetric spaces via sample compression
Lee-Ad Gottlieb
Shira Ozeri
72
1
0
22 Sep 2019
Universal Bayes consistency in metric spaces
Universal Bayes consistency in metric spacesInformation Theory and Applications Workshop (ITA), 2019
Steve Hanneke
A. Kontorovich
Sivan Sabato
Roi Weiss
810
52
0
24 Jun 2019
Maximal Margin Distribution Support Vector Regression with coupled
  Constraints-based Convex Optimization
Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization
Gaoyang Li
Jinyu Yang
Chunguo Wu
Qing Ma
67
0
0
05 May 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
194
15
0
03 Dec 2018
Minimax rates for cost-sensitive learning on manifolds with approximate
  nearest neighbours
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighboursInternational Conference on Algorithmic Learning Theory (ALT), 2017
Henry W. J. Reeve
Gavin Brown
165
11
0
01 Mar 2018
Data-dependent Generalization Bounds for Multi-class Classification
Data-dependent Generalization Bounds for Multi-class Classification
Yunwen Lei
Ürün Dogan
Ding-Xuan Zhou
Matthias Kirchler
AI4CE
150
4
0
29 Jun 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite
  Dimensions
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
A. Kontorovich
Sivan Sabato
Roi Weiss
308
30
0
23 May 2017
Active Nearest-Neighbor Learning in Metric Spaces
Active Nearest-Neighbor Learning in Metric Spaces
A. Kontorovich
Sivan Sabato
Ruth Urner
725
36
0
22 May 2016
Tight Risk Bounds for Multi-Class Margin Classifiers
Tight Risk Bounds for Multi-Class Margin ClassifiersPattern Recognition and Image Analysis (PRIA), 2015
Yury Maximov
D. Reshetova
154
15
0
10 Jul 2015
Nearly optimal classification for semimetrics
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb
A. Kontorovich
327
19
0
22 Feb 2015
A Bayes consistent 1-NN classifier
A Bayes consistent 1-NN classifierInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2014
A. Kontorovich
Roi Weiss
640
39
0
01 Jul 2014
Near-optimal sample compression for nearest neighbors
Near-optimal sample compression for nearest neighborsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
Lee-Ad Gottlieb
A. Kontorovich
Pinhas Nisnevitch
545
49
0
13 Apr 2014
Efficient Regression in Metric Spaces via Approximate Lipschitz
  Extension
Efficient Regression in Metric Spaces via Approximate Lipschitz ExtensionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2011
Lee-Ad Gottlieb
A. Kontorovich
Robert Krauthgamer
414
56
0
18 Nov 2011
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