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Prediction with Advice of Unknown Number of Experts

Prediction with Advice of Unknown Number of Experts

9 August 2014
A. Chernov
V. Vovk
ArXivPDFHTML

Papers citing "Prediction with Advice of Unknown Number of Experts"

23 / 23 papers shown
Title
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
Quan Nguyen
Nishant A. Mehta
26
1
0
02 Mar 2024
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Gábor Lugosi
Gergely Neu
38
11
0
31 May 2023
Continuous Prediction with Experts' Advice
Continuous Prediction with Experts' Advice
V. S. Portella
Christopher Liaw
Nicholas J. A. Harvey
16
5
0
01 Jun 2022
Optimal Comparator Adaptive Online Learning with Switching Cost
Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
23
4
0
13 May 2022
Parameter-free Online Linear Optimization with Side Information via
  Universal Coin Betting
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting
Jeonghun Ryu
Alankrita Bhatt
Young-Han Kim
26
1
0
04 Feb 2022
Minimax Optimal Quantile and Semi-Adversarial Regret via
  Root-Logarithmic Regularizers
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea
Blair Bilodeau
Nicolò Campolongo
Francesco Orabona
Daniel M. Roy
19
6
0
27 Oct 2021
The Pareto Frontier of model selection for general Contextual Bandits
The Pareto Frontier of model selection for general Contextual Bandits
T. V. Marinov
Julian Zimmert
29
22
0
25 Oct 2021
Learning to maximize global influence from local observations
Learning to maximize global influence from local observations
Gábor Lugosi
Gergely Neu
Julia Olkhovskaya
33
0
0
24 Sep 2021
Parameter-free Stochastic Optimization of Variationally Coherent
  Functions
Parameter-free Stochastic Optimization of Variationally Coherent Functions
Francesco Orabona
Dávid Pál
24
17
0
30 Jan 2021
Adaptive Regret of Convex and Smooth Functions
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang
Tie-Yan Liu
Zhi-Hua Zhou
ODL
29
45
0
26 Apr 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
Zakaria Mhammedi
Wouter M. Koolen
T. Erven
23
34
0
27 Feb 2019
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
Kwang-Sung Jun
Francesco Orabona
58
42
0
05 Feb 2019
Online Influence Maximization with Local Observations
Online Influence Maximization with Local Observations
Julia Olkhovskaya
Gergely Neu
Gábor Lugosi
18
7
0
28 May 2018
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
31
634
0
08 Feb 2018
Online Learning with Many Experts
Online Learning with Many Experts
Alon Cohen
Shie Mannor
23
8
0
25 Feb 2017
MetaGrad: Multiple Learning Rates in Online Learning
MetaGrad: Multiple Learning Rates in Online Learning
T. Erven
Wouter M. Koolen
ODL
29
94
0
29 Apr 2016
Coin Betting and Parameter-Free Online Learning
Coin Betting and Parameter-Free Online Learning
Francesco Orabona
D. Pál
25
161
0
12 Feb 2016
Second-order Quantile Methods for Experts and Combinatorial Games
Second-order Quantile Methods for Experts and Combinatorial Games
Wouter M. Koolen
T. Erven
29
101
0
27 Feb 2015
Achieving All with No Parameters: Adaptive NormalHedge
Achieving All with No Parameters: Adaptive NormalHedge
Haipeng Luo
Robert Schapire
ODL
31
18
0
20 Feb 2015
A Drifting-Games Analysis for Online Learning and Applications to
  Boosting
A Drifting-Games Analysis for Online Learning and Applications to Boosting
Haipeng Luo
Robert Schapire
38
31
0
07 Jun 2014
A Second-order Bound with Excess Losses
A Second-order Bound with Excess Losses
Pierre Gaillard
Gilles Stoltz
T. Erven
28
149
0
10 Feb 2014
Follow the Leader If You Can, Hedge If You Must
Follow the Leader If You Can, Hedge If You Must
S. D. Rooij
T. Erven
Peter Grünwald
Wouter M. Koolen
55
176
0
03 Jan 2013
Prediction with Expert Advice under Discounted Loss
Prediction with Expert Advice under Discounted Loss
A. Chernov
Fedor Zhdanov
94
34
0
11 May 2010
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