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New Potential-Based Bounds for Prediction with Expert Advice

New Potential-Based Bounds for Prediction with Expert Advice

5 November 2019
Vladimir A. Kobzar
R. Kohn
Zhilei Wang
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Papers citing "New Potential-Based Bounds for Prediction with Expert Advice"

28 / 28 papers shown
Title
Numerical solution of a PDE arising from prediction with expert advice
Numerical solution of a PDE arising from prediction with expert advice
Jeff Calder
Nadejda Drenska
Drisana Mosaphir
39
0
0
09 Jun 2024
Improving Adaptive Online Learning Using Refined Discretization
Improving Adaptive Online Learning Using Refined Discretization
Zhiyu Zhang
Heng Yang
Ashok Cutkosky
I. Paschalidis
48
5
0
27 Sep 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
76
7
0
31 Jan 2023
A PDE approach for regret bounds under partial monitoring
A PDE approach for regret bounds under partial monitoring
Erhan Bayraktar
Ibrahim Ekren
Xin Zhang
51
0
0
02 Sep 2022
Optimal Tracking in Prediction with Expert Advice
Optimal Tracking in Prediction with Expert Advice
Hakan Gokcesu
Suleyman S. Kozat
37
1
0
07 Aug 2022
A New Approach to Drifting Games, Based on Asymptotically Optimal
  Potentials
A New Approach to Drifting Games, Based on Asymptotically Optimal Potentials
Zhilei Wang
R. Kohn
75
3
0
23 Jul 2022
Continuous Prediction with Experts' Advice
Continuous Prediction with Experts' Advice
V. S. Portella
Christopher Liaw
Nicholas J. A. Harvey
50
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
44
4
0
13 May 2022
Efficient and Optimal Fixed-Time Regret with Two Experts
Efficient and Optimal Fixed-Time Regret with Two Experts
Laura Greenstreet
Nicholas J. A. Harvey
V. S. Portella
39
3
0
15 Mar 2022
A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit
A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit
Vladimir A. Kobzar
R. Kohn
57
4
0
11 Feb 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
PDE-Based Optimal Strategy for Unconstrained Online Learning
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
46
25
0
19 Jan 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other
  Applications
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
Daniel Lee
Georgy Noarov
Mallesh M. Pai
Aaron Roth
43
14
0
09 Aug 2021
Asymptotically optimal strategies for online prediction with
  history-dependent experts
Asymptotically optimal strategies for online prediction with history-dependent experts
Jeff Calder
Nadejda Drenska
OffRL
38
12
0
31 Aug 2020
A PDE Approach to the Prediction of a Binary Sequence with Advice from
  Two History-Dependent Experts
A PDE Approach to the Prediction of a Binary Sequence with Advice from Two History-Dependent Experts
Nadejda Drenska
R. Kohn
56
11
0
24 Jul 2020
Optimal anytime regret with two experts
Optimal anytime regret with two experts
Nicholas J. A. Harvey
Christopher Liaw
E. Perkins
Sikander Randhawa
139
16
0
20 Feb 2020
New Potential-Based Bounds for the Geometric-Stopping Version of
  Prediction with Expert Advice
New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice
Vladimir A. Kobzar
R. Kohn
Zhilei Wang
33
11
0
05 Dec 2019
Finite-Time 4-Expert Prediction Problem
Finite-Time 4-Expert Prediction Problem
Erhan Bayraktar
Ibrahim Ekren
Xin Zhang
39
21
0
22 Nov 2019
XNAS: Neural Architecture Search with Expert Advice
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman
Asaf Noy
T. Ridnik
Itamar Friedman
Rong Jin
Lihi Zelnik-Manor
31
129
0
19 Jun 2019
Prediction with Expert Advice: a PDE Perspective
Prediction with Expert Advice: a PDE Perspective
Nadejda Drenska
R. Kohn
55
28
0
25 Apr 2019
On the asymptotic optimality of the comb strategy for prediction with
  expert advice
On the asymptotic optimality of the comb strategy for prediction with expert advice
Erhan Bayraktar
Ibrahim Ekren
Yili Zhang
32
22
0
06 Feb 2019
Online Learning: Sufficient Statistics and the Burkholder Method
Online Learning: Sufficient Statistics and the Burkholder Method
Dylan J. Foster
Alexander Rakhlin
Karthik Sridharan
30
27
0
20 Mar 2018
PDE approach to the problem of online prediction with expert advice: a
  construction of potential-based strategies
PDE approach to the problem of online prediction with expert advice: a construction of potential-based strategies
D. Rokhlin
43
11
0
02 May 2017
Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning
  with Expert Advice
Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice
Francesco Orabona
D. Pál
36
21
0
06 Nov 2015
Towards Optimal Algorithms for Prediction with Expert Advice
Towards Optimal Algorithms for Prediction with Expert Advice
N. Gravin
Yuval Peres
Balasubramanian Sivan
54
45
0
10 Sep 2014
Towards Minimax Online Learning with Unknown Time Horizon
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo
Robert Schapire
54
22
0
31 Jul 2013
Optimal Allocation Strategies for the Dark Pool Problem
Optimal Allocation Strategies for the Dark Pool Problem
Alekh Agarwal
Peter L. Bartlett
Max Dama
63
28
0
11 Mar 2010
Online prediction of ovarian cancer
Online prediction of ovarian cancer
Fedor Zhdanov
V. Vovk
Brian Burford
Dmitry Devetyarov
I. Nouretdinov
A. Gammerman
67
3
0
09 Apr 2009
A parameter-free hedging algorithm
A parameter-free hedging algorithm
Kamalika Chaudhuri
Y. Freund
Daniel J. Hsu
330
142
0
16 Mar 2009
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