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Combining Online Learning Guarantees

Combining Online Learning Guarantees

24 February 2019
Ashok Cutkosky
ArXivPDFHTML

Papers citing "Combining Online Learning Guarantees"

14 / 14 papers shown
Title
Comparator-Adaptive $Φ$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Comparator-Adaptive ΦΦΦ-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait
Ping Li
Haipeng Luo
Mengxiao Zhang
105
0
0
22 May 2025
Online Learning: Sufficient Statistics and the Burkholder Method
Online Learning: Sufficient Statistics and the Burkholder Method
Dylan J. Foster
Alexander Rakhlin
Karthik Sridharan
53
27
0
20 Mar 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces
Ashok Cutkosky
Francesco Orabona
83
147
0
17 Feb 2018
Parameter-free online learning via model selection
Parameter-free online learning via model selection
Dylan J. Foster
Satyen Kale
M. Mohri
Karthik Sridharan
83
60
0
30 Dec 2017
Coin Betting and Parameter-Free Online Learning
Coin Betting and Parameter-Free Online Learning
Francesco Orabona
D. Pál
160
165
0
12 Feb 2016
On Equivalence of Martingale Tail Bounds and Deterministic Regret
  Inequalities
On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities
Alexander Rakhlin
Karthik Sridharan
55
49
0
13 Oct 2015
Adaptive Online Learning
Adaptive Online Learning
Dylan J. Foster
Alexander Rakhlin
Karthik Sridharan
100
51
0
21 Aug 2015
Normalized Online Learning
Normalized Online Learning
Stéphane Ross
Paul Mineiro
John Langford
143
69
0
09 Aug 2014
Simultaneous Model Selection and Optimization through Parameter-free
  Stochastic Learning
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Francesco Orabona
140
103
0
15 Jun 2014
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax
  Algorithms and Normal Approximations
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations
H. B. McMahan
Francesco Orabona
132
78
0
03 Mar 2014
No-Regret Algorithms for Unconstrained Online Convex Optimization
No-Regret Algorithms for Unconstrained Online Convex Optimization
Matthew J. Streeter
H. B. McMahan
ODL
78
89
0
09 Nov 2012
Online Learning with Predictable Sequences
Online Learning with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
207
359
0
18 Aug 2012
Adaptive Bound Optimization for Online Convex Optimization
Adaptive Bound Optimization for Online Convex Optimization
H. B. McMahan
Matthew J. Streeter
ODL
98
388
0
26 Feb 2010
Empirical Bernstein Bounds and Sample Variance Penalization
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer
Massimiliano Pontil
390
543
0
21 Jul 2009
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