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Exploiting the Surrogate Gap in Online Multiclass Classification
v1v2 (latest)

Exploiting the Surrogate Gap in Online Multiclass Classification

24 July 2020
Dirk van der Hoeven
ArXiv (abs)PDFHTML

Papers citing "Exploiting the Surrogate Gap in Online Multiclass Classification"

7 / 7 papers shown
Title
Bandit and Delayed Feedback in Online Structured Prediction
Bandit and Delayed Feedback in Online Structured Prediction
Yuki Shibukawa
Taira Tsuchiya
Shinsaku Sakaue
Kenji Yamanishi
OffRL
151
0
0
26 Feb 2025
Online Structured Prediction with Fenchel--Young Losses and Improved
  Surrogate Regret for Online Multiclass Classification with Logistic Loss
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
Shinsaku Sakaue
Han Bao
Taira Tsuchiya
Taihei Oki
86
4
0
13 Feb 2024
Trading-Off Payments and Accuracy in Online Classification with Paid
  Stochastic Experts
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Dirk van der Hoeven
Ciara Pike-Burke
Haotian Qiu
Nicolò Cesa-Bianchi
47
1
0
03 Jul 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher
  Generalization Accuracy
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
111
57
0
21 Feb 2023
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
99
7
0
06 Jun 2022
Efficient Methods for Online Multiclass Logistic Regression
Efficient Methods for Online Multiclass Logistic Regression
Naman Agarwal
Satyen Kale
Julian Zimmert
104
11
0
06 Oct 2021
Beyond Bandit Feedback in Online Multiclass Classification
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven
Federico Fusco
Nicolò Cesa-Bianchi
OffRL
63
13
0
07 Jun 2021
1