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ORCIDOlivier Wintenberger
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2020 – today
- 2024
[i13]Camila Fernandez, Pierre Gaillard, Joseph De Vilmarest, Olivier Wintenberger:
Online Learning Approach for Survival Analysis. CoRR abs/2402.05145 (2024)- 2023
- [j3]Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger:
Learning from time-dependent streaming data with online stochastic algorithms. Trans. Mach. Learn. Res. 2023 (2023) - [i12]Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger:
Optimistic Dynamic Regret Bounds. CoRR abs/2301.07530 (2023) - 2022
- [i11]Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger:
Learning from time-dependent streaming data with online stochastic algorithms. CoRR abs/2205.12549 (2022) - 2021
- [j2]Joseph De Vilmarest, Olivier Wintenberger:
Stochastic Online Optimization using Kalman Recursion. J. Mach. Learn. Res. 22: 223:1-223:55 (2021) - [i10]Olivier Wintenberger:
Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. CoRR abs/2102.00729 (2021) - [i9]Joseph De Vilmarest, Olivier Wintenberger:
Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes. CoRR abs/2104.10777 (2021) - [i8]Antoine Godichon-Baggioni, Nicklas Werge
, Olivier Wintenberger:
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. CoRR abs/2109.07117 (2021) - 2020
- [i7]Joseph De Vilmarest, Olivier Wintenberger:
Stochastic Online Optimization using Kalman Recursion. CoRR abs/2002.03636 (2020) - [i6]Eric Adjakossa, Yannig Goude, Olivier Wintenberger:
Kalman Recursions Aggregated Online. CoRR abs/2002.12173 (2020)
2010 – 2019
- 2019
- [i5]Joseph De Vilmarest, Olivier Wintenberger:
Logarithmic Regret for parameter-free Online Logistic Regression. CoRR abs/1902.09803 (2019) - [i4]Nicolas Meyer, Olivier Wintenberger:
Sparse regular variation. CoRR abs/1907.00686 (2019) - 2018
- [c4]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: 288-301 - [c3]Pierre Gaillard, Olivier Wintenberger:
Efficient online algorithms for fast-rate regret bounds under sparsity. NeurIPS 2018: 7026-7036 - [i3]Pierre Gaillard, Olivier Wintenberger:
Efficient online algorithms for fast-rate regret bounds under sparsity. CoRR abs/1805.09174 (2018) - [i2]Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger:
Rule Induction Partitioning Estimator. CoRR abs/1807.04602 (2018) - 2017
- [j1]Olivier Wintenberger:
Optimal learning with Bernstein online aggregation. Mach. Learn. 106(1): 119-141 (2017) - [c2]Pierre Gaillard, Olivier Wintenberger:
Sparse Accelerated Exponential Weights. AISTATS 2017: 75-82 - [c1]Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin:
A Strongly Quasiconvex PAC-Bayesian Bound. ALT 2017: 466-492 - 2014
- [i1]Olivier Wintenberger:
Optimal learning with Bernstein Online Aggregation. CoRR abs/1404.1356 (2014)
Coauthor Index
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