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New bounds for $k$-means and information $k$-means
v1v2 (latest)

New bounds for kkk-means and information kkk-means

14 January 2021
Gautier Appert
O. Catoni
ArXiv (abs)PDFHTML

Papers citing "New bounds for $k$-means and information $k$-means"

5 / 5 papers shown
Title
More PAC-Bayes bounds: From bounded losses, to losses with general tail
  behaviors, to anytime validity
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validityJournal of machine learning research (JMLR), 2023
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
378
14
0
21 Jun 2023
Adversarially robust clustering with optimality guarantees
Adversarially robust clustering with optimality guaranteesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Soham Jana
Kun Yang
Sanjeev R. Kulkarni
AAML
241
3
0
16 Jun 2023
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
248
30
0
17 May 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
484
248
0
21 Oct 2021
Fat-Shattering Dimension of $k$-fold Aggregations
Fat-Shattering Dimension of kkk-fold AggregationsJournal of machine learning research (JMLR), 2021
Idan Attias
A. Kontorovich
131
2
0
10 Oct 2021
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