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Active Nearest-Neighbor Learning in Metric Spaces
v1v2v3 (latest)

Active Nearest-Neighbor Learning in Metric Spaces

22 May 2016
A. Kontorovich
Sivan Sabato
Ruth Urner
ArXiv (abs)PDFHTML

Papers citing "Active Nearest-Neighbor Learning in Metric Spaces"

13 / 13 papers shown
Title
Active learning using region-based sampling
Active learning using region-based sampling
S. Dasgupta
Y. Freund
15
0
0
05 Mar 2023
A Two-Stage Active Learning Algorithm for $k$-Nearest Neighbors
A Two-Stage Active Learning Algorithm for kkk-Nearest Neighbors
Nick Rittler
Kamalika Chaudhuri
127
1
0
19 Nov 2022
Active Nearest Neighbor Regression Through Delaunay Refinement
Active Nearest Neighbor Regression Through Delaunay Refinement
Alexander Kravberg
Giovanni Luca Marchetti
Vladislav Polianskii
Anastasiia Varava
Florian T. Pokorny
Danica Kragic
102
0
0
16 Jun 2022
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
Neural Active Learning with Performance Guarantees
Neural Active Learning with Performance Guarantees
Pranjal Awasthi
Christoph Dann
Claudio Gentile
Ayush Sekhari
Zhilei Wang
56
22
0
06 Jun 2021
Sequential Graph Convolutional Network for Active Learning
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
GNN
128
122
0
18 Jun 2020
Boosting algorithms in energy research: A systematic review
Boosting algorithms in energy research: A systematic review
Hristos Tyralis
Georgia Papacharalampous
96
45
0
01 Apr 2020
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
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang
S. Jha
Kamalika Chaudhuri
AAML
228
155
0
13 Jun 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
Adaptivity to Noise Parameters in Nonparametric Active Learning
Adaptivity to Noise Parameters in Nonparametric Active Learning
A. Locatelli
Alexandra Carpentier
Samory Kpotufe
64
30
0
16 Mar 2017
Nearly optimal classification for semimetrics
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb
A. Kontorovich
190
18
0
22 Feb 2015
Near-optimal sample compression for nearest neighbors
Near-optimal sample compression for nearest neighbors
Lee-Ad Gottlieb
A. Kontorovich
Pinhas Nisnevitch
308
48
0
13 Apr 2014
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