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Coin Betting and Parameter-Free Online Learning

Coin Betting and Parameter-Free Online Learning

12 February 2016
Francesco Orabona
D. Pál
ArXivPDFHTML

Papers citing "Coin Betting and Parameter-Free Online Learning"

27 / 27 papers shown
Title
Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen
Jun-Kun Wang
DeLMO
39
0
0
29 Oct 2024
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton
  Stepsizes
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
Antonio Orvieto
Lin Xiao
39
2
0
05 Jul 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
32
4
0
26 May 2024
How Free is Parameter-Free Stochastic Optimization?
How Free is Parameter-Free Stochastic Optimization?
Amit Attia
Tomer Koren
ODL
39
4
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
26
20
0
16 Oct 2023
Auditing Fairness by Betting
Auditing Fairness by Betting
Ben Chugg
Santiago Cortes-Gomez
Bryan Wilder
Aaditya Ramdas
MLAU
45
7
0
27 May 2023
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises:
  High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Zijian Liu
Zhengyuan Zhou
22
10
0
22 Mar 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to
  Unknown Parameters, Unbounded Gradients and Affine Variance
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
Amit Attia
Tomer Koren
ODL
17
24
0
17 Feb 2023
Improved Online Conformal Prediction via Strongly Adaptive Online
  Learning
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar
Haiquan Wang
Caiming Xiong
Yu Bai
AI4TS
33
47
0
15 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi
Oliver Hinder
Y. Carmon
ODL
24
56
0
08 Feb 2023
Differentially Private Online-to-Batch for Smooth Losses
Differentially Private Online-to-Batch for Smooth Losses
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
FedML
43
4
0
12 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
16
1
0
14 Sep 2022
Exploiting the Curvature of Feasible Sets for Faster Projection-Free
  Online Learning
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning
Zakaria Mhammedi
10
8
0
23 May 2022
Making SGD Parameter-Free
Making SGD Parameter-Free
Y. Carmon
Oliver Hinder
15
41
0
04 May 2022
Learning Predictions for Algorithms with Predictions
Learning Predictions for Algorithms with Predictions
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
Sergei Vassilvitskii
17
25
0
18 Feb 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed
  Bandits
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
Jiatai Huang
Yan Dai
Longbo Huang
12
14
0
28 Jan 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
PDE-Based Optimal Strategy for Unconstrained Online Learning
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
10
25
0
19 Jan 2022
Tight Concentrations and Confidence Sequences from the Regret of
  Universal Portfolio
Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio
Francesco Orabona
Kwang-Sung Jun
49
38
0
27 Oct 2021
Efficient Contextual Bandits with Continuous Actions
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi
Chicheng Zhang
Rajan Chari
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
OffRL
27
32
0
10 Jun 2020
Online Learning with Imperfect Hints
Online Learning with Imperfect Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
19
57
0
11 Feb 2020
Locally-Adaptive Nonparametric Online Learning
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
13
5
0
05 Feb 2020
Matrix-Free Preconditioning in Online Learning
Matrix-Free Preconditioning in Online Learning
Ashok Cutkosky
Tamás Sarlós
ODL
10
16
0
29 May 2019
Best of many worlds: Robust model selection for online supervised
  learning
Best of many worlds: Robust model selection for online supervised learning
Vidya Muthukumar
Mitas Ray
A. Sahai
Peter L. Bartlett
OffRL
32
8
0
22 May 2018
On the Convergence of Stochastic Gradient Descent with Adaptive
  Stepsizes
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyun Li
Francesco Orabona
32
290
0
21 May 2018
Parameter-free online learning via model selection
Parameter-free online learning via model selection
Dylan J. Foster
Satyen Kale
M. Mohri
Karthik Sridharan
24
58
0
30 Dec 2017
Improved Strongly Adaptive Online Learning using Coin Betting
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun
Francesco Orabona
Rebecca Willett
S. Wright
20
80
0
14 Oct 2016
Scale-Free Online Learning
Scale-Free Online Learning
Francesco Orabona
D. Pál
10
102
0
08 Jan 2016
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