ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1507.02592
  4. Cited By
Fast rates in statistical and online learning
v1v2 (latest)

Fast rates in statistical and online learning

9 July 2015
T. Erven
Peter Grünwald
Nishant A. Mehta
Mark D. Reid
Robert C. Williamson
ArXiv (abs)PDFHTML

Papers citing "Fast rates in statistical and online learning"

23 / 73 papers shown
Title
Adaptivity and Optimality: A Universal Algorithm for Online Convex
  Optimization
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization
Guanghui Wang
Shiyin Lu
Lijun Zhang
ODL
79
23
0
15 May 2019
On the convergence of the maximum likelihood estimator for the
  transition rate under a 2-state symmetric model
On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model
L. Ho
Vu C. Dinh
Frederick Albert Matsen IV
M. Suchard
54
0
0
10 Mar 2019
Adaptive Hedging under Delayed Feedback
Adaptive Hedging under Delayed Feedback
Alexander Korotin
V. Výugin
Evgeny Burnaev
36
5
0
27 Feb 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk
  Minimization through Self-Concordance
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance
Ulysse Marteau-Ferey
Dmitrii Ostrovskii
Francis R. Bach
Alessandro Rudi
188
52
0
08 Feb 2019
A Primer on PAC-Bayesian Learning
A Primer on PAC-Bayesian Learning
Benjamin Guedj
179
223
0
16 Jan 2019
Graphical Convergence of Subgradients in Nonconvex Optimization and
  Learning
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning
Damek Davis
Dmitriy Drusvyatskiy
81
26
0
17 Oct 2018
On the optimality of the Hedge algorithm in the stochastic regime
On the optimality of the Hedge algorithm in the stochastic regime
Jaouad Mourtada
Stéphane Gaïffas
70
53
0
05 Sep 2018
Non-bifurcating phylogenetic tree inference via the adaptive LASSO
Non-bifurcating phylogenetic tree inference via the adaptive LASSO
Cheng Zhang
Vu C. Dinh
Frederick Albert Matsen IV
128
8
0
28 May 2018
Efficient online algorithms for fast-rate regret bounds under sparsity
Efficient online algorithms for fast-rate regret bounds under sparsity
Pierre Gaillard
Olivier Wintenberger
41
10
0
23 May 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound
  Conditions
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
Mingrui Liu
Xiaoxuan Zhang
Lijun Zhang
Rong Jin
Tianbao Yang
86
25
0
11 May 2018
Logistic Regression: The Importance of Being Improper
Logistic Regression: The Importance of Being Improper
Dylan J. Foster
Satyen Kale
Haipeng Luo
M. Mohri
Karthik Sridharan
71
78
0
25 Mar 2018
Parameter-free online learning via model selection
Parameter-free online learning via model selection
Dylan J. Foster
Satyen Kale
M. Mohri
Karthik Sridharan
128
61
0
30 Dec 2017
A Tight Excess Risk Bound via a Unified
  PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity
Peter Grünwald
Nishant A. Mehta
50
35
0
21 Oct 2017
Fast rates for online learning in Linearly Solvable Markov Decision
  Processes
Fast rates for online learning in Linearly Solvable Markov Decision Processes
Gergely Neu
Vicencc Gómez
59
13
0
21 Feb 2017
Following the Leader and Fast Rates in Linear Prediction: Curved
  Constraint Sets and Other Regularities
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
Ruitong Huang
Tor Lattimore
András Gyorgy
Csaba Szepesvári
66
31
0
10 Feb 2017
Fast learning rates with heavy-tailed losses
Fast learning rates with heavy-tailed losses
Vu C. Dinh
L. Ho
Binh T. Nguyen
D. M. Nguyen
68
12
0
29 Sep 2016
Bayes factor consistency
Bayes factor consistency
S. Chib
Todd A. Kuffner
34
24
0
01 Jul 2016
Localization of VC Classes: Beyond Local Rademacher Complexities
Localization of VC Classes: Beyond Local Rademacher Complexities
Nikita Zhivotovskiy
Steve Hanneke
120
32
0
02 Jun 2016
Combining Adversarial Guarantees and Stochastic Fast Rates in Online
  Learning
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen
Peter Grünwald
T. Erven
72
38
0
20 May 2016
Fast rates with high probability in exp-concave statistical learning
Fast rates with high probability in exp-concave statistical learning
Nishant A. Mehta
48
2
0
04 May 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized
  Bayes
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
Peter Grünwald
Nishant A. Mehta
227
73
0
01 May 2016
MetaGrad: Multiple Learning Rates in Online Learning
MetaGrad: Multiple Learning Rates in Online Learning
T. Erven
Wouter M. Koolen
ODL
119
98
0
29 Apr 2016
Inconsistency of Bayesian Inference for Misspecified Linear Models, and
  a Proposal for Repairing It
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
Peter Grünwald
T. V. Ommen
147
268
0
11 Dec 2014
Previous
12