Olivier Wintenberger

According to our database, Olivier Wintenberger authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation.

Ferdinand Genans, Olivier Wintenberger

CoRR, February, 2026

2025

Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification.

Moria Mayala, Erwan Scornet, Charles Tillier, Olivier Wintenberger

CoRR, June, 2025

Minimax Adaptive Online Nonparametric Regression over Besov spaces.

Paul Liautaud, Pierre Gaillard, Olivier Wintenberger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport.

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Minimax-optimal and Locally-adaptive Online Nonparametric Regression.

Paul Liautaud, Pierre Gaillard, Olivier Wintenberger

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Online Learning Approach for Survival Analysis.

Camila Fernandez, Pierre Gaillard, Joseph De Vilmarest, Olivier Wintenberger

CoRR, 2024

2023

Learning from time-dependent streaming data with online stochastic algorithms.

Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger

Trans. Mach. Learn. Res., 2023

Optimistic Dynamic Regret Bounds.

Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger

CoRR, 2023

2021

Stochastic Online Optimization using Kalman Recursion.

Joseph De Vilmarest, Olivier Wintenberger

J. Mach. Learn. Res., 2021

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data.

Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger

CoRR, 2021

Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes.

Joseph De Vilmarest, Olivier Wintenberger

CoRR, 2021

Stochastic Online Convex Optimization; Application to probabilistic time series forecasting.

Olivier Wintenberger

CoRR, 2021

2020

Kalman Recursions Aggregated Online.

Eric Adjakossa, Yannig Goude, Olivier Wintenberger

CoRR, 2020

2019

Sparse regular variation.

Nicolas Meyer, Olivier Wintenberger

CoRR, 2019

Logarithmic Regret for parameter-free Online Logistic Regression.

Joseph De Vilmarest, Olivier Wintenberger

CoRR, 2019

2018

Rule Induction Partitioning Estimator.

Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger

CoRR, 2018

Efficient online algorithms for fast-rate regret bounds under sparsity.

Pierre Gaillard, Olivier Wintenberger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Rule Induction Partitioning Estimator - A New Deterministic Algorithm for Data Dependent Partitioning Estimate.

Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Optimal learning with Bernstein online aggregation.

Olivier Wintenberger

Mach. Learn., 2017

A Strongly Quasiconvex PAC-Bayesian Bound.

Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

Sparse Accelerated Exponential Weights.

Pierre Gaillard, Olivier Wintenberger

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017