ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1805.09174
  4. Cited By
Efficient online algorithms for fast-rate regret bounds under sparsity

Efficient online algorithms for fast-rate regret bounds under sparsity

23 May 2018
Pierre Gaillard
Olivier Wintenberger
ArXiv (abs)PDFHTML

Papers citing "Efficient online algorithms for fast-rate regret bounds under sparsity"

6 / 6 papers shown
Title
Exploring Local Norms in Exp-concave Statistical Learning
Exploring Local Norms in Exp-concave Statistical Learning
Nikita Puchkin
Nikita Zhivotovskiy
149
2
0
21 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
139
9
0
31 Jan 2023
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand
  Forecasting
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting
F. Ziel
115
25
0
13 Jul 2021
CRPS Learning
CRPS Learning
Jonathan Berrisch
F. Ziel
117
27
0
01 Feb 2021
Stochastic Online Convex Optimization. Application to probabilistic time
  series forecasting
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting
Olivier Wintenberger
AI4TS
103
8
0
01 Feb 2021
No-regret Exploration in Contextual Reinforcement Learning
No-regret Exploration in Contextual Reinforcement Learning
Aditya Modi
Ambuj Tewari
OffRL
49
14
0
14 Mar 2019
1