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Concentration in unbounded metric spaces and algorithmic stability

Concentration in unbounded metric spaces and algorithmic stability

4 September 2013
A. Kontorovich
ArXivPDFHTML

Papers citing "Concentration in unbounded metric spaces and algorithmic stability"

15 / 15 papers shown
Title
Stability of Random Forests and Coverage of Random-Forest Prediction
  Intervals
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Yan Wang
Huaiqing Wu
Dan Nettleton
19
9
0
28 Oct 2023
On the Concentration of the Minimizers of Empirical Risks
On the Concentration of the Minimizers of Empirical Risks
Paul Escande
38
3
0
03 Apr 2023
A Mathematical Framework for Learning Probability Distributions
A Mathematical Framework for Learning Probability Distributions
Hongkang Yang
43
7
0
22 Dec 2022
Lifting Weak Supervision To Structured Prediction
Lifting Weak Supervision To Structured Prediction
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
19
7
0
24 Nov 2022
Scaling ResNets in the Large-depth Regime
Scaling ResNets in the Large-depth Regime
Pierre Marion
Adeline Fermanian
Gérard Biau
Jean-Philippe Vert
31
16
0
14 Jun 2022
Matrix Completion with Model-free Weighting
Matrix Completion with Model-free Weighting
Jiayi Wang
R. K. Wong
Xiaojun Mao
Kwun Chuen Gary Chan
34
5
0
09 Jun 2021
The computational asymptotics of Gaussian variational inference and the
  Laplace approximation
The computational asymptotics of Gaussian variational inference and the Laplace approximation
Zuheng Xu
Trevor Campbell
39
7
0
13 Apr 2021
Multi-Armed Bandits with Dependent Arms
Multi-Armed Bandits with Dependent Arms
Rahul Singh
Fang Liu
Yin Sun
Ness B. Shroff
24
11
0
13 Oct 2020
Sharper bounds for uniformly stable algorithms
Sharper bounds for uniformly stable algorithms
Olivier Bousquet
Yegor Klochkov
Nikita Zhivotovskiy
23
120
0
17 Oct 2019
A Rademacher Complexity Based Method fo rControlling Power and
  Confidence Level in Adaptive Statistical Analysis
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis
L. Stefani
E. Upfal
22
8
0
04 Oct 2019
Graphical Convergence of Subgradients in Nonconvex Optimization and
  Learning
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning
Damek Davis
Dmitriy Drusvyatskiy
21
26
0
17 Oct 2018
Convergence and Concentration of Empirical Measures under Wasserstein
  Distance in Unbounded Functional Spaces
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
Jing Lei
17
119
0
27 Apr 2018
Distribution-dependent concentration inequalities for tighter
  generalization bounds
Distribution-dependent concentration inequalities for tighter generalization bounds
Xinxing Wu
Junping Zhang
29
1
0
19 Jul 2016
Learning without Concentration
Learning without Concentration
S. Mendelson
92
333
0
01 Jan 2014
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
793
0
19 Feb 2009
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