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The Many Faces of Exponential Weights in Online Learning
v1v2 (latest)

The Many Faces of Exponential Weights in Online Learning

21 February 2018
Dirk van der Hoeven
T. Erven
W. Kotłowski
    OffRL
ArXiv (abs)PDFHTML

Papers citing "The Many Faces of Exponential Weights in Online Learning"

15 / 15 papers shown
Title
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Yu Zhang
Peng Zhao
Masashi Sugiyama
115
0
0
12 Jun 2025
Online Newton Method for Bandit Convex Optimisation
Online Newton Method for Bandit Convex Optimisation
Hidde Fokkema
Dirk van der Hoeven
Tor Lattimore
Jack J. Mayo
79
6
0
10 Jun 2024
A Second-Order Method for Stochastic Bandit Convex Optimisation
A Second-Order Method for Stochastic Bandit Convex Optimisation
Tor Lattimore
András Gyorgy
69
7
0
10 Feb 2023
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Nishant Jain
Pradeep Shenoy
94
4
0
12 Dec 2022
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Emmanuel Esposito
Federico Fusco
Dirk van der Hoeven
Nicolò Cesa-Bianchi
58
14
0
09 Oct 2022
Modifying Squint for Prediction with Expert Advice in a Changing
  Environment
Modifying Squint for Prediction with Expert Advice in a Changing Environment
Thom Neuteboom
T. Erven
72
1
0
14 Sep 2022
A Regret-Variance Trade-Off in Online Learning
A Regret-Variance Trade-Off in Online Learning
Dirk van der Hoeven
Nikita Zhivotovskiy
Nicolò Cesa-Bianchi
56
7
0
06 Jun 2022
Online PAC-Bayes Learning
Online PAC-Bayes Learning
Maxime Haddouche
Benjamin Guedj
107
22
0
31 May 2022
Scale-free Unconstrained Online Learning for Curved Losses
Scale-free Unconstrained Online Learning for Curved Losses
J. Mayo
Hédi Hadiji
T. Erven
82
13
0
11 Feb 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
J. Jon Ryu
Alankrita Bhatt
Young-Han Kim
57
1
0
04 Feb 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
193
206
0
21 Oct 2021
The Bayesian Learning Rule
The Bayesian Learning Rule
Mohammad Emtiyaz Khan
Håvard Rue
BDL
165
83
0
09 Jul 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach
Sergey Levine
OOD
128
186
0
10 Mar 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
T. Erven
Wouter M. Koolen
Dirk van der Hoeven
ODL
107
23
0
12 Feb 2021
Combinatorial Black-Box Optimization with Expert Advice
Combinatorial Black-Box Optimization with Expert Advice
Hamid Dadkhahi
Karthikeyan Shanmugam
Jesus Rios
Payel Das
Samuel C. Hoffman
T. Loeffler
S. Sankaranarayanan
73
16
0
06 Jun 2020
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