ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0908.3593
  4. Cited By
Adaptive Hausdorff estimation of density level sets

Adaptive Hausdorff estimation of density level sets

25 August 2009
Aarti Singh
Clayton Scott
Robert D. Nowak
ArXiv (abs)PDFHTML

Papers citing "Adaptive Hausdorff estimation of density level sets"

42 / 42 papers shown
An Asymptotic Equivalence between the Mean-Shift Algorithm and the
  Cluster Tree
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree
E. Arias-Castro
Wanli Qiao
261
3
0
19 Nov 2021
Moving Up the Cluster Tree with the Gradient Flow
Moving Up the Cluster Tree with the Gradient Flow
E. Arias-Castro
Wanli Qiao
242
3
0
17 Sep 2021
Active Covering
Active CoveringInternational Conference on Machine Learning (ICML), 2021
Heinrich Jiang
Afshin Rostamizadeh
225
4
0
04 Jun 2021
Nonparametric Trace Regression in High Dimensions via Sign Series
  Representation
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Chanwoo Lee
Lexin Li
Hao Helen Zhang
Miaoyan Wang
AI4TS
226
2
0
04 May 2021
MeanShift++: Extremely Fast Mode-Seeking With Applications to
  Segmentation and Object Tracking
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object TrackingComputer Vision and Pattern Recognition (CVPR), 2021
J. Jang
Heinrich Jiang
229
25
0
01 Apr 2021
Locally Adaptive Label Smoothing for Predictive Churn
Locally Adaptive Label Smoothing for Predictive Churn
Dara Bahri
Heinrich Jiang
NoLa
232
10
0
09 Feb 2021
The sample complexity of level set approximation
The sample complexity of level set approximationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
François Bachoc
Tommaso Cesari
Sébastien Gerchinovitz
204
8
0
26 Oct 2020
Faster DBSCAN via subsampled similarity queries
Faster DBSCAN via subsampled similarity queriesNeural Information Processing Systems (NeurIPS), 2020
Heinrich Jiang
J. Jang
Jakub Lacki
220
16
0
11 Jun 2020
Asymptotics of Lower Dimensional Zero-Density Regions
Asymptotics of Lower Dimensional Zero-Density RegionsStatistics (Berlin) (SB), 2020
Hengrui Luo
S. MacEachern
M. Peruggia
290
9
0
03 Jun 2020
Deep k-NN for Noisy Labels
Deep k-NN for Noisy LabelsInternational Conference on Machine Learning (ICML), 2020
Dara Bahri
Heinrich Jiang
Maya R. Gupta
NoLa
285
87
0
26 Apr 2020
Scores for Multivariate Distributions and Level Sets
Scores for Multivariate Distributions and Level SetsOperational Research (OR), 2020
Xiaochun Meng
James W. Taylor
Souhaib Ben Taieb
Siran Li
AI4TS
366
4
0
21 Feb 2020
Rate of convergence for geometric inference based on the empirical
  Christoffel function
Rate of convergence for geometric inference based on the empirical Christoffel functionE S A I M: Probability & Statistics (ESAIM-PS), 2019
Mai Trang Vu
François Bachoc
Edouard Pauwels
153
7
0
31 Oct 2019
Topological Autoencoders
Topological AutoencodersInternational Conference on Machine Learning (ICML), 2019
Michael Moor
Max Horn
Bastian Rieck
Karsten Borgwardt
540
188
0
03 Jun 2019
Minimax Hausdorff estimation of density level sets
Minimax Hausdorff estimation of density level sets
Alberto Rodríguez-Casal
P. Saavedra-Nieves
175
4
0
07 May 2019
DBSCAN++: Towards fast and scalable density clustering
DBSCAN++: Towards fast and scalable density clustering
J. Jang
Heinrich Jiang
361
75
0
31 Oct 2018
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
553
512
0
30 May 2018
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
Heinrich Jiang
J. Jang
Samory Kpotufe
VLMOOD
163
42
0
21 May 2018
Optimization of Smooth Functions with Noisy Observations: Local Minimax
  Rates
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
Yining Wang
Sivaraman Balakrishnan
Aarti Singh
160
28
0
22 Mar 2018
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
487
760
0
11 Oct 2017
Adaptive Nonparametric Clustering
Adaptive Nonparametric Clustering
Kirill Efimov
Larisa Adamyan
V. Spokoiny
171
16
0
26 Sep 2017
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Heinrich Jiang
225
4
0
19 Jul 2017
DBSCAN: Optimal Rates For Density Based Clustering
DBSCAN: Optimal Rates For Density Based ClusteringJournal of machine learning research (JMLR), 2017
Daren Wang
X. Lu
Alessandro Rinaldo
379
21
0
09 Jun 2017
Density Level Set Estimation on Manifolds with DBSCAN
Density Level Set Estimation on Manifolds with DBSCAN
Heinrich Jiang
323
33
0
10 Mar 2017
Modal-set estimation with an application to clustering
Modal-set estimation with an application to clustering
Heinrich Jiang
Samory Kpotufe
188
25
0
13 Jun 2016
On Estimating the Perimeter Using the Alpha-Shape
On Estimating the Perimeter Using the Alpha-Shape
E. Arias-Castro
Alberto Rodríguez-Casal
MDE
212
19
0
30 Jun 2015
Statistical Inference using the Morse-Smale Complex
Statistical Inference using the Morse-Smale Complex
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
288
30
0
29 Jun 2015
Rates of convergence for robust geometric inference
Rates of convergence for robust geometric inference
Frédéric Chazal
P. Massart
Bertrand Michel
394
36
0
28 May 2015
Density Level Sets: Asymptotics, Inference, and Visualization
Density Level Sets: Asymptotics, Inference, and Visualization
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
383
100
0
21 Apr 2015
A fully data-driven method for estimating density level sets
A fully data-driven method for estimating density level sets
Alberto Rodríguez-Casal
P. Saavedra-Nieves
188
3
0
27 Nov 2014
Fully adaptive density-based clustering
Fully adaptive density-based clustering
Ingo Steinwart
409
37
0
30 Sep 2014
Consistent procedures for cluster tree estimation and pruning
Consistent procedures for cluster tree estimation and pruningIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
Kamalika Chaudhuri
S. Dasgupta
Samory Kpotufe
U. V. Luxburg
211
66
0
05 Jun 2014
A comparative simulation study of data-driven methods for estimating
  density level sets
A comparative simulation study of data-driven methods for estimating density level sets
P. Saavedra-Nieves
W. González-Manteiga
Alberto Rodríguez-Casal
221
6
0
03 Feb 2014
Baseline zone estimation in two dimensions
Baseline zone estimation in two dimensions
A. Mallik
Moulinath Banerjee
Michael Woodroofe
197
1
0
22 Dec 2013
Cluster Trees on Manifolds
Cluster Trees on ManifoldsNeural Information Processing Systems (NeurIPS), 2013
Sivaraman Balakrishnan
S. Narayanan
Alessandro Rinaldo
Aarti Singh
Larry A. Wasserman
210
46
0
24 Jul 2013
Optimal rates of convergence for persistence diagrams in Topological
  Data Analysis
Optimal rates of convergence for persistence diagrams in Topological Data Analysis
Frédéric Chazal
Marc Glisse
C. Labruère
Bertrand Michel
285
30
0
27 May 2013
Optimal rates for first-order stochastic convex optimization under
  Tsybakov noise condition
Optimal rates for first-order stochastic convex optimization under Tsybakov noise conditionInternational Conference on Machine Learning (ICML), 2012
Aaditya Ramdas
Aarti Singh
209
31
0
12 Jul 2012
Threshold estimation based on a p-value framework in dose-response and
  regression settings
Threshold estimation based on a p-value framework in dose-response and regression settings
A. Mallik
B. Sen
Moulinath Banerjee
George Michailidis
251
30
0
09 Jun 2011
Pruning nearest neighbor cluster trees
Pruning nearest neighbor cluster trees
Samory Kpotufe
U. V. Luxburg
280
59
0
03 May 2011
Stability of Density-Based Clustering
Stability of Density-Based Clustering
Alessandro Rinaldo
Aarti Singh
Rebecca Nugent
Larry A. Wasserman
219
69
0
11 Nov 2010
Level sets estimation and Vorobév expectation of random compact sets
Level sets estimation and Vorobév expectation of random compact sets
P. Heinrich
R. Stoica
V. Tran
MDE
269
16
0
26 Jun 2010
Generalized density clustering
Generalized density clustering
Alessandro Rinaldo
Larry A. Wasserman
301
170
0
20 Jul 2009
Learning Low-Density Separators
Learning Low-Density SeparatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2008
Shai Ben-David
Tyler Lu
D. Pál
M. Sotáková
221
24
0
19 May 2008
1
Page 1 of 1