Sparse Accelerated Exponential Weights. - Pierre Gaillard; Olivier Wintenberger (AISTATS, 2017)

A Strongly Quasiconvex PAC-Bayesian Bound. - Niklas Thiemann; Christian Igel; Olivier Wintenberger; Yevgeny Seldin (ALT, 2017)

Optimal learning with Bernstein online aggregation. - Olivier Wintenberger (Mach. Learn., 2017)

Rule Induction Partitioning Estimator - A New Deterministic Algorithm for Data Dependent Partitioning Estimate. - Vincent Margot; Jean-Patrick Baudry; Frédéric Guilloux; Olivier Wintenberger (MLDM (2), 2018)

Efficient online algorithms for fast-rate regret bounds under sparsity. - Pierre Gaillard; Olivier Wintenberger (NeurIPS, 2018)

Rule Induction Partitioning Estimator. - Vincent Margot; Jean-Patrick Baudry; Frédéric Guilloux; Olivier Wintenberger (CoRR, 2018)

Logarithmic Regret for parameter-free Online Logistic Regression. - Joseph De Vilmarest; Olivier Wintenberger (CoRR, 2019)

Sparse regular variation. - Nicolas Meyer; Olivier Wintenberger (CoRR, 2019)

Kalman Recursions Aggregated Online. - Eric Adjakossa; Yannig Goude; Olivier Wintenberger (CoRR, 2020)

Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. - Olivier Wintenberger (CoRR, 2021)

Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes. - Joseph De Vilmarest; Olivier Wintenberger (CoRR, 2021)

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. - Antoine Godichon-Baggioni; Nicklas Werge; Olivier Wintenberger (CoRR, 2021)

Stochastic Online Optimization using Kalman Recursion. - Joseph De Vilmarest; Olivier Wintenberger (J. Mach. Learn. Res., 2021)

Optimistic Dynamic Regret Bounds. - Maxime Haddouche; Benjamin Guedj; Olivier Wintenberger (CoRR, 2023)

Learning from time-dependent streaming data with online stochastic algorithms. - Antoine Godichon-Baggioni; Nicklas Werge; Olivier Wintenberger (Trans. Mach. Learn. Res., 2023)

Online Learning Approach for Survival Analysis. - Camila Fernandez; Pierre Gaillard; Joseph De Vilmarest; Olivier Wintenberger (CoRR, 2024)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression. - Paul Liautaud; Pierre Gaillard; Olivier Wintenberger (ALT, 2025)

Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification. - Moria Mayala; Erwan Scornet; Charles Tillier; Olivier Wintenberger (CoRR, 2025)