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Efficient Active Learning of Halfspaces: an Aggressive Approach
v1v2v3 (latest)

Efficient Active Learning of Halfspaces: an Aggressive Approach

Journal of machine learning research (JMLR), 2012
17 August 2012
Alon Gonen
Sivan Sabato
Shai Shalev-Shwartz
ArXiv (abs)PDFHTML

Papers citing "Efficient Active Learning of Halfspaces: an Aggressive Approach"

20 / 20 papers shown
Title
Data-Efficient Learning via Clustering-Based Sensitivity Sampling:
  Foundation Models and Beyond
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis
Vincent Cohen-Addad
Monika Henzinger
Sammy Jerome
Vahab Mirrokni
David Saulpic
David P. Woodruff
Michael Wunder
124
13
0
27 Feb 2024
Active Learning of Classifiers with Label and Seed Queries
Active Learning of Classifiers with Label and Seed QueriesNeural Information Processing Systems (NeurIPS), 2022
Marco Bressan
Nicolò Cesa-Bianchi
Silvio Lattanzi
Andrea Paudice
Maximilian Thiessen
VLM
101
3
0
08 Sep 2022
Streaming Adaptive Submodular Maximization
Streaming Adaptive Submodular MaximizationAlgorithmic Applications in Management (AAM), 2022
Shaojie Tang
Jing Yuan
110
4
0
17 Aug 2022
Black-box Generalization of Machine Teaching
Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
James T. Kwok
139
0
0
30 Jun 2022
Frugal Machine Learning
Frugal Machine Learning
Mikhail Evchenko
Joaquin Vanschoren
Holger H. Hoos
Marc Schoenauer
Michèle Sebag
78
17
0
05 Nov 2021
Teaching an Active Learner with Contrastive Examples
Teaching an Active Learner with Contrastive ExamplesNeural Information Processing Systems (NeurIPS), 2021
Simon Mahns
Adish Singla
Yuxin Chen
138
11
0
28 Oct 2021
Optimal Sampling Gaps for Adaptive Submodular Maximization
Optimal Sampling Gaps for Adaptive Submodular MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2021
Shaojie Tang
Jing Yuan
248
10
0
05 Apr 2021
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Marco Bressan
Nicolò Cesa-Bianchi
Silvio Lattanzi
Andrea Paudice
98
15
0
08 Jun 2020
Flattening a Hierarchical Clustering through Active Learning
Flattening a Hierarchical Clustering through Active LearningNeural Information Processing Systems (NeurIPS), 2019
Fabio Vitale
Anand Rajagopalan
Claudio Gentile
127
8
0
22 Jun 2019
Exploring Representativeness and Informativeness for Active Learning
Exploring Representativeness and Informativeness for Active Learning
Bo Du
Zengmao Wang
Lefei Zhang
Liangpei Zhang
Wen Liu
Jialie Shen
Dacheng Tao
78
179
0
14 Apr 2019
A Structured Perspective of Volumes on Active Learning
Xiaofeng Cao
Ivor W. Tsang
Guandong Xu
57
3
0
24 Jul 2018
Active classification with comparison queries
Active classification with comparison queries
D. Kane
Shachar Lovett
Shay Moran
Jiapeng Zhang
VLM
120
69
0
11 Apr 2017
The Relationship Between Agnostic Selective Classification Active
  Learning and the Disagreement Coefficient
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient
Roei Gelbhart
Ran El-Yaniv
218
13
0
19 Mar 2017
Active Nearest-Neighbor Learning in Metric Spaces
Active Nearest-Neighbor Learning in Metric Spaces
A. Kontorovich
Sivan Sabato
Ruth Urner
661
36
0
22 May 2016
Submodular Learning and Covering with Response-Dependent Costs
Submodular Learning and Covering with Response-Dependent Costs
Sivan Sabato
85
3
0
23 Feb 2016
Interactive algorithms: from pool to stream
Interactive algorithms: from pool to stream
Sivan Sabato
Tom Hess
354
14
0
02 Feb 2016
From Cutting Planes Algorithms to Compression Schemes and Active
  Learning
From Cutting Planes Algorithms to Compression Schemes and Active LearningIEEE International Joint Conference on Neural Network (IJCNN), 2015
L. Ralaivola
Ugo Louche
433
6
0
12 Aug 2015
Beating the Minimax Rate of Active Learning with Prior Knowledge
Beating the Minimax Rate of Active Learning with Prior Knowledge
Lijun Zhang
M. Mahdavi
Rong Jin
107
0
0
19 Nov 2013
Auditing: Active Learning with Outcome-Dependent Query Costs
Auditing: Active Learning with Outcome-Dependent Query CostsNeural Information Processing Systems (NeurIPS), 2013
Sivan Sabato
Anand D. Sarwate
Nathan Srebro
MLAU
113
8
0
10 Jun 2013
Active and passive learning of linear separators under log-concave
  distributions
Active and passive learning of linear separators under log-concave distributionsAnnual Conference Computational Learning Theory (COLT), 2012
Maria-Florina Balcan
Philip M. Long
199
151
0
06 Nov 2012
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