Optimal learning with Bernstein Online Aggregation

4 April 2014

Papers citing "Optimal learning with Bernstein Online Aggregation"

24 / 24 papers shown

Title
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning Dmitry B. Rokhlin Olga V. Gurtovaya 53 0 0 25 Mar 2025
Multivariate Online Linear Regression for Hierarchical Forecasting Massil Hihat Guillaume Garrigos Adeline Fermanian Simon Bussy 22 0 0 22 Feb 2024
AdaptiveConformal: An R Package for Adaptive Conformal Inference Herbert Susmann Antoine Chambaz Julie Josse 26 1 0 01 Dec 2023
Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 44 2 0 05 Oct 2023
High-Probability Risk Bounds via Sequential Predictors Dirk van der Hoeven Nikita Zhivotovskiy Nicolò Cesa-Bianchi OffRL 36 2 0 15 Aug 2023
Adaptive Probabilistic Forecasting of Electricity (Net-)Load Joseph de Vilmarest J. Browell Matteo Fasiolo Y. Goude Olivier Wintenberger 37 9 0 24 Jan 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 28 1 0 18 Jan 2023
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts Isaac Gibbs Emmanuel Candès 35 85 0 17 Aug 2022
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables Yi-Shan Wu Yevgeny Seldin 24 12 0 01 Jun 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition Varun Kanade Patrick Rebeschini Tomas Vaskevicius 39 10 0 23 Feb 2022
Adaptive Conformal Predictions for Time Series Margaux Zaffran Aymeric Dieuleveut Olivier Féron Y. Goude Julie Josse AI4TS 44 129 0 15 Feb 2022
Isotuning With Applications To Scale-Free Online Learning Laurent Orseau Marcus Hutter 21 5 0 29 Dec 2021
Expert Aggregation for Financial Forecasting Carl Remlinger M. Brière C. Alasseur Joseph Mikael AI4TS AIFin 32 5 0 25 Nov 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 41 3 0 06 Apr 2021
CRPS Learning Jonathan Berrisch F. Ziel 50 25 0 01 Feb 2021
Reinforcement Learning in Economics and Finance Arthur Charpentier Romuald Elie Carl Remlinger OffRL 32 150 0 22 Mar 2020
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions Lijun Zhang G. Wang Wei-Wei Tu Zhi-Hua Zhou ODL 23 18 0 26 Jun 2019
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 21 46 0 31 May 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi Wouter M. Koolen T. Erven 23 34 0 27 Feb 2019
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen Peter Grünwald T. Erven 32 37 0 20 May 2016
Conditional Risk Minimization for Stochastic Processes Alexander Zimin Christoph H. Lampert 35 7 0 09 Oct 2015
Second-order Quantile Methods for Experts and Combinatorial Games Wouter M. Koolen T. Erven 32 101 0 27 Feb 2015
A Second-order Bound with Excess Losses Pierre Gaillard Gilles Stoltz T. Erven 31 149 0 10 Feb 2014
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 164 455 0 03 Dec 2007