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A parameter-free hedging algorithm

A parameter-free hedging algorithm

16 March 2009
Kamalika Chaudhuri
Y. Freund
Daniel J. Hsu
ArXivPDFHTML

Papers citing "A parameter-free hedging algorithm"

26 / 26 papers shown
Title
How Free is Parameter-Free Stochastic Optimization?
How Free is Parameter-Free Stochastic Optimization?
Amit Attia
Tomer Koren
ODL
47
5
0
05 Feb 2024
A simple uniformly optimal method without line search for convex
  optimization
A simple uniformly optimal method without line search for convex optimization
Tianjiao Li
Guanghui Lan
28
20
0
16 Oct 2023
Making SGD Parameter-Free
Making SGD Parameter-Free
Y. Carmon
Oliver Hinder
25
43
0
04 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
Optimal Online Learning using Potential Functions
Optimal Online Learning using Potential Functions
Y. Freund
16
0
0
20 Jun 2021
Optimal anytime regret with two experts
Optimal anytime regret with two experts
Nicholas J. A. Harvey
Christopher Liaw
E. Perkins
Sikander Randhawa
19
16
0
20 Feb 2020
New Potential-Based Bounds for Prediction with Expert Advice
New Potential-Based Bounds for Prediction with Expert Advice
Vladimir A. Kobzar
R. Kohn
Zhilei Wang
24
21
0
05 Nov 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
33
0
27 Feb 2019
Solving Imperfect-Information Games via Discounted Regret Minimization
Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown
T. Sandholm
21
165
0
11 Sep 2018
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
29
634
0
08 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
32
58
0
30 Dec 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Hamed Kiani Galoogahi
Ashton Fagg
Chen Huang
Deva Ramanan
Simon Lucey
30
399
0
17 Mar 2017
Tight Lower Bounds for Multiplicative Weights Algorithmic Families
Tight Lower Bounds for Multiplicative Weights Algorithmic Families
N. Gravin
Yuval Peres
Balasubramanian Sivan
19
16
0
11 Jul 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian
  optimization
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization
Hildo Bijl
Thomas B. Schon
J. Wingerden
M. Verhaegen
13
25
0
01 Apr 2016
Adaptive Ensemble Learning with Confidence Bounds
Adaptive Ensemble Learning with Confidence Bounds
Cem Tekin
Jinsung Yoon
M. Schaar
FedML
11
40
0
23 Dec 2015
Second-order Quantile Methods for Experts and Combinatorial Games
Second-order Quantile Methods for Experts and Combinatorial Games
Wouter M. Koolen
T. Erven
24
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
Prediction with Advice of Unknown Number of Experts
Prediction with Advice of Unknown Number of Experts
A. Chernov
V. Vovk
38
46
0
09 Aug 2014
Exploiting Smoothness in Statistical Learning, Sequential Prediction,
  and Stochastic Optimization
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization
M. Mahdavi
63
4
0
19 Jul 2014
Simultaneous Model Selection and Optimization through Parameter-free
  Stochastic Learning
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Francesco Orabona
51
102
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
39
76
0
03 Mar 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
53
176
0
03 Jan 2013
An Online Learning-based Framework for Tracking
An Online Learning-based Framework for Tracking
Kamalika Chaudhuri
Y. Freund
Daniel J. Hsu
59
7
0
15 Mar 2012
Portfolio Allocation for Bayesian Optimization
Portfolio Allocation for Bayesian Optimization
E. Brochu
Matthew W. Hoffman
Nando de Freitas
34
278
0
28 Sep 2010
Online Learning in Case of Unbounded Losses Using the Follow Perturbed
  Leader Algorithm
Online Learning in Case of Unbounded Losses Using the Follow Perturbed Leader Algorithm
V. Výugin
47
4
0
25 Aug 2010
Particle Filtering on the Audio Localization Manifold
Particle Filtering on the Audio Localization Manifold
Evan Ettinger
Y. Freund
85
0
0
02 Mar 2010
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