Olivier Wintenberger

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Camila Fernandez, Pierre Gaillard, Joseph De Vilmarest, Olivier Wintenberger
Online Learning Approach for Survival Analysis. CoRR (2024)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Learning from time-dependent streaming data with online stochastic algorithms. Trans. Mach. Learn. Res. 2023 (2023)
Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger
Optimistic Dynamic Regret Bounds. CoRR (2023)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Learning from time-dependent streaming data with online stochastic algorithms. CoRR (2022)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. CoRR (2021)
Olivier Wintenberger
Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. CoRR (2021)
Joseph De Vilmarest, Olivier Wintenberger
Stochastic Online Optimization using Kalman Recursion. J. Mach. Learn. Res. 22 (2021)
Joseph De Vilmarest, Olivier Wintenberger
Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes. CoRR (2021)
Joseph De Vilmarest, Olivier Wintenberger
Stochastic Online Optimization using Kalman Recursion. CoRR (2020)
Eric Adjakossa, Yannig Goude, Olivier Wintenberger
Kalman Recursions Aggregated Online. CoRR (2020)
Joseph De Vilmarest, Olivier Wintenberger
Logarithmic Regret for parameter-free Online Logistic Regression. CoRR (2019)
Nicolas Meyer, Olivier Wintenberger
Sparse regular variation. CoRR (2019)
Pierre Gaillard, Olivier Wintenberger
Efficient online algorithms for fast-rate regret bounds under sparsity. CoRR (2018)
Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger
Rule Induction Partitioning Estimator - A New Deterministic Algorithm for Data Dependent Partitioning Estimate. MLDM (2) (2018)
Pierre Gaillard, Olivier Wintenberger
Efficient online algorithms for fast-rate regret bounds under sparsity. NeurIPS (2018)
Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger
Rule Induction Partitioning Estimator. CoRR (2018)
Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
A Strongly Quasiconvex PAC-Bayesian Bound. ALT (2017)
Pierre Gaillard, Olivier Wintenberger
Sparse Accelerated Exponential Weights. AISTATS (2017)
Olivier Wintenberger
Optimal learning with Bernstein online aggregation. Mach. Learn. 106 (1) (2017)
Olivier Wintenberger
Optimal learning with Bernstein Online Aggregation. CoRR (2014)