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Prediction with Expert Advice under Discounted Loss
v1v2 (latest)

Prediction with Expert Advice under Discounted Loss

11 May 2010
A. Chernov
Fedor Zhdanov
ArXiv (abs)PDFHTML

Papers citing "Prediction with Expert Advice under Discounted Loss"

13 / 13 papers shown
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Wenhao Yang
Sifan Yang
Lijun Zhang
204
2
0
26 May 2025
Optimistic Safety for Online Convex Optimization with Unknown Linear
  Constraints
Optimistic Safety for Online Convex Optimization with Unknown Linear ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Spencer Hutchinson
Tianyi Chen
Mahnoosh Alizadeh
338
1
0
09 Mar 2024
Optimal Tracking in Prediction with Expert Advice
Optimal Tracking in Prediction with Expert Advice
Hakan Gokcesu
Suleyman S. Kozat
263
1
0
07 Aug 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Rate-Optimal Online Convex Optimization in Adaptive Linear ControlNeural Information Processing Systems (NeurIPS), 2022
Asaf B. Cassel
Alon Cohen
Google Research
219
9
0
03 Jun 2022
Best-Case Lower Bounds in Online Learning
Best-Case Lower Bounds in Online Learning
Cristóbal Guzmán
Nishant A. Mehta
Ali Mortazavi
143
1
0
23 Jun 2021
Sequential Ski Rental Problem
Sequential Ski Rental ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Anant Shah
A. Rajkumar
372
5
0
13 Apr 2021
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
337
58
0
05 Sep 2018
An Approximate Dynamic Programming Approach to Adversarial Online
  Learning
An Approximate Dynamic Programming Approach to Adversarial Online Learning
Vijay Kamble
Patrick Loiseau
J. Walrand
466
0
0
16 Mar 2016
Towards Minimax Online Learning with Unknown Time Horizon
Towards Minimax Online Learning with Unknown Time HorizonInternational Conference on Machine Learning (ICML), 2013
Haipeng Luo
Robert Schapire
292
23
0
31 Jul 2013
Mirror Descent Meets Fixed Share (and feels no regret)
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-Bianchi
Pierre Gaillard
Gabor Lugosi
Jean-Michel Poggi
449
103
0
15 Feb 2012
An Identity for Kernel Ridge Regression
An Identity for Kernel Ridge RegressionTheoretical Computer Science (TCS), 2010
Fedor Zhdanov
Yuri Kalnishkan
242
34
0
06 Dec 2011
Efficient Tracking of Large Classes of Experts
Efficient Tracking of Large Classes of ExpertsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2011
András Gyorgy
Tamás Linder
Gábor Lugosi
579
76
0
12 Oct 2011
On Theorem 2.3 in "Prediction, Learning, and Games" by Cesa-Bianchi and
  Lugosi
On Theorem 2.3 in "Prediction, Learning, and Games" by Cesa-Bianchi and Lugosi
A. Chernov
197
1
0
25 Nov 2010
1
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