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Near-optimal sample compression for nearest neighbors
v1v2v3v4 (latest)

Near-optimal sample compression for nearest neighbors

13 April 2014
Lee-Ad Gottlieb
A. Kontorovich
Pinhas Nisnevitch
ArXiv (abs)PDFHTML

Papers citing "Near-optimal sample compression for nearest neighbors"

20 / 20 papers shown
Title
Sample Compression Scheme Reductions
Sample Compression Scheme Reductions
Idan Attias
Steve Hanneke
Arvind Ramaswami
MQ
132
1
0
16 Oct 2024
Weighted Distance Nearest Neighbor Condensing
Weighted Distance Nearest Neighbor Condensing
Lee-Ad Gottlieb
Timor Sharabi
Roi Weiss
42
0
0
24 Oct 2023
Optimal Learners for Realizable Regression: PAC Learning and Online
  Learning
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Idan Attias
Steve Hanneke
Alkis Kalavasis
Amin Karbasi
Grigoris Velegkas
102
21
0
07 Jul 2023
On Error and Compression Rates for Prototype Rules
On Error and Compression Rates for Prototype Rules
Omer Kerem
Roi Weiss
46
1
0
16 Jun 2022
A Theory of PAC Learnability of Partial Concept Classes
A Theory of PAC Learnability of Partial Concept Classes
N. Alon
Steve Hanneke
R. Holzman
Shay Moran
77
54
0
18 Jul 2021
KNN Classification with One-step Computation
KNN Classification with One-step Computation
Shichao Zhang
Jiaye Li
66
86
0
09 Dec 2020
Stable Sample Compression Schemes: New Applications and an Optimal SVM
  Margin Bound
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
Steve Hanneke
A. Kontorovich
125
27
0
09 Nov 2020
Functions with average smoothness: structure, algorithms, and learning
Functions with average smoothness: structure, algorithms, and learning
Yair Ashlagi
Lee-Ad Gottlieb
A. Kontorovich
56
9
0
13 Jul 2020
When are Non-Parametric Methods Robust?
When are Non-Parametric Methods Robust?
Robi Bhattacharjee
Kamalika Chaudhuri
AAML
89
27
0
13 Mar 2020
Coresets for the Nearest-Neighbor Rule
Coresets for the Nearest-Neighbor Rule
Alejandro Flores-Velazco
D. Mount
NAIDD
21
4
0
16 Feb 2020
Fast and Bayes-consistent nearest neighbors
Fast and Bayes-consistent nearest neighbors
K. Efremenko
A. Kontorovich
Moshe Noivirt
45
3
0
07 Oct 2019
Universal Bayes consistency in metric spaces
Universal Bayes consistency in metric spaces
Steve Hanneke
A. Kontorovich
Sivan Sabato
Roi Weiss
459
52
0
24 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and
  Defense
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Yao-Yuan Yang
Cyrus Rashtchian
Yizhen Wang
Kamalika Chaudhuri
SILMAAML
92
43
0
07 Jun 2019
Natively Interpretable Machine Learning and Artificial Intelligence:
  Preliminary Results and Future Directions
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions
Christopher J. Hazard
Christopher Fusting
Michael Resnick
Michael Auerbach
M. Meehan
Valeri Korobov
39
8
0
02 Jan 2019
Sample Compression for Real-Valued Learners
Sample Compression for Real-Valued Learners
Steve Hanneke
A. Kontorovich
Menachem Sadigurschi
60
21
0
21 May 2018
On Communication Complexity of Classification Problems
On Communication Complexity of Classification Problems
D. Kane
Roi Livni
Shay Moran
Amir Yehudayoff
84
23
0
16 Nov 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite
  Dimensions
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
A. Kontorovich
Sivan Sabato
Roi Weiss
172
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
549
36
0
22 May 2016
Nearly optimal classification for semimetrics
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb
A. Kontorovich
190
18
0
22 Feb 2015
Adaptive Metric Dimensionality Reduction
Adaptive Metric Dimensionality Reduction
Lee-Ad Gottlieb
A. Kontorovich
Robert Krauthgamer
159
40
0
12 Feb 2013
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