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ORCIDStéphane Gaïffas
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2020 – today
- 2023
[j16]Ibrahim Merad, Stéphane Gaïffas:
Robust Methods for High-Dimensional Linear Learning. J. Mach. Learn. Res. 24: 165:1-165:44 (2023)- [j15]Ibrahim Merad, Stéphane Gaïffas:
Robust supervised learning with coordinate gradient descent. Stat. Comput. 33(5): 116 (2023) - [j14]Stéphane Gaïffas, Ibrahim Merad
, Yiyang Yu:
WildWood: A New Random Forest Algorithm. IEEE Trans. Inf. Theory 69(10): 6586-6604 (2023) - [c6]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. NeurIPS 2023 - [i19]Ibrahim Merad, Stéphane Gaïffas:
Convergence and concentration properties of constant step-size SGD through Markov chains. CoRR abs/2306.11497 (2023) - [i18]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. CoRR abs/2307.06048 (2023) - [i17]Ibrahim Merad, Stéphane Gaïffas:
Robust Stochastic Optimization via Gradient Quantile Clipping. CoRR abs/2309.17316 (2023) - 2022
- [j13]Jaouad Mourtada, Stéphane Gaïffas:
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression. J. Mach. Learn. Res. 23: 31:1-31:49 (2022) - [i16]Stéphane Gaïffas, Ibrahim Merad:
Robust supervised learning with coordinate gradient descent. CoRR abs/2201.13372 (2022) - [i15]Ibrahim Merad, Stéphane Gaïffas:
Robust methods for high-dimensional linear learning. CoRR abs/2208.05447 (2022) - 2021
- [c5]Ahmed Ben Saad, Sébastien Drouyer, Bastien Hell, Sylvain Gavoille, Stéphane Gaïffas, Gabriele Facciolo:
A Review on Contrastive Learning Methods and Applications to Roof-Type Classification on Aerial Images. IGARSS 2021: 4960-4963 - [i14]Daniel de Barros Soares, François Andrieux, Bastien Hell, Julien Lenhardt, Jordi Badosa, Sylvain Gavoille, Stéphane Gaïffas, Emmanuel Bacry:
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data. CoRR abs/2106.15268 (2021) - [i13]Stéphane Gaïffas, Ibrahim Merad, Yiyang Yu:
WildWood: a new Random Forest algorithm. CoRR abs/2109.08010 (2021) - 2020
- [j12]Emmanuel Bacry, Stéphane Gaïffas, Fanny Leroy, Maryan Morel, Dinh Phong Nguyen, Youcef Sebiat, Dian Sun:
SCALPEL3: A scalable open-source library for healthcare claims databases. Int. J. Medical Informatics 141: 104203 (2020) - [j11]Anastasiia Kabeshova, Yiyang Yu, Bertrand Lukacs, Emmanuel Bacry, Stéphane Gaïffas:
ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data. J. Biomed. Informatics 110: 103531 (2020) - [j10]Emmanuel Bacry, Martin Bompaire, Stéphane Gaïffas, Jean-François Muzy:
Sparse and low-rank multivariate Hawkes processes. J. Mach. Learn. Res. 21: 50:1-50:32 (2020) - [i12]Ibrahim Merad, Yiyang Yu, Emmanuel Bacry, Stéphane Gaïffas:
About contrastive unsupervised representation learning for classification and its convergence. CoRR abs/2012.01064 (2020)
2010 – 2019
- 2019
- [j9]Jaouad Mourtada, Stéphane Gaïffas:
On the optimality of the Hedge algorithm in the stochastic regime. J. Mach. Learn. Res. 20: 83:1-83:28 (2019) - [j8]Mokhtar Z. Alaya, Simon Bussy, Stéphane Gaïffas, Agathe Guilloux:
Binarsity: a penalization for one-hot encoded features in linear supervised learning. J. Mach. Learn. Res. 20: 118:1-118:34 (2019) - [j7]Stéphane Gaïffas, Gustaw Matulewicz:
Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process. J. Multivar. Anal. 169: 1-20 (2019) - [i11]Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet:
AMF: Aggregated Mondrian Forests for Online Learning. CoRR abs/1906.10529 (2019) - [i10]Emmanuel Bacry, Stéphane Gaïffas, Fanny Leroy, Maryan Morel, Dinh Phong Nguyen, Youcef Sebiat, Dian Sun:
SCALPEL3: a scalable open-source library for healthcare claims databases. CoRR abs/1910.07045 (2019) - [i9]Emmanuel Bacry, Stéphane Gaïffas, Anastasiia Kabeshova, Yiyang Yu:
ZiMM: a deep learning model for long term adverse events with non-clinical claims data. CoRR abs/1911.05346 (2019) - [i8]Jaouad Mourtada, Stéphane Gaïffas:
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression. CoRR abs/1912.10784 (2019) - 2018
- [i7]Martin Bompaire, Emmanuel Bacry, Stéphane Gaïffas:
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption. CoRR abs/1807.03545 (2018) - [i6]Simon Bussy, Raphaël Veil, Vincent Looten, Anita Burgun, Stéphane Gaïffas, Agathe Guilloux, Brigitte Ranque, Anne-Sophie Jannot:
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. CoRR abs/1807.09821 (2018) - [i5]Jaouad Mourtada, Stéphane Gaïffas:
Anytime Hedge achieves optimal regret in the stochastic regime. CoRR abs/1809.01382 (2018) - 2017
- [j6]Massil Achab, Emmanuel Bacry, Stéphane Gaïffas, Iacopo Mastromatteo, Jean-François Muzy:
Uncovering Causality from Multivariate Hawkes Integrated Cumulants. J. Mach. Learn. Res. 18: 192:1-192:28 (2017) - [j5]Emmanuel Bacry, Martin Bompaire, Philip Deegan, Stéphane Gaïffas, Søren Poulsen:
tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models. J. Mach. Learn. Res. 18: 214:1-214:5 (2017) - [c4]Massil Achab, Emmanuel Bacry, Stéphane Gaïffas, Iacopo Mastromatteo, Jean-François Muzy:
Uncovering Causality from Multivariate Hawkes Integrated Cumulants. ICML 2017: 1-10 - [c3]Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet:
Universal consistency and minimax rates for online Mondrian Forests. NIPS 2017: 3758-3767 - 2016
- [i4]Massil Achab, Emmanuel Bacry, Stéphane Gaïffas, Iacopo Mastromatteo, Jean-François Muzy:
Uncovering Causality from Multivariate Hawkes Integrated Cumulants. CoRR abs/1607.06333 (2016) - 2015
- [j4]Mokhtar Z. Alaya, Stéphane Gaïffas, Agathe Guilloux:
Learning the Intensity of Time Events With Change-Points. IEEE Trans. Inf. Theory 61(9): 5148-5171 (2015) - [i3]Massil Achab, Agathe Guilloux, Stéphane Gaïffas, Emmanuel Bacry:
SGD with Variance Reduction beyond Empirical Risk Minimization. CoRR abs/1510.04822 (2015) - [i2]Emmanuel Bacry, Stéphane Gaïffas, Iacopo Mastromatteo, Jean-François Muzy:
Mean-field inference of Hawkes point processes. CoRR abs/1511.01512 (2015) - 2014
- [j3]Emile Richard, Stéphane Gaïffas, Nicolas Vayatis:
Link prediction in graphs with autoregressive features. J. Mach. Learn. Res. 15(1): 565-593 (2014) - 2013
- [c2]Carlos Sureda Gutierrez, Elodie Prodhomme, Stéphane Gaïffas:
Learning to Target the Target: Automatic Audience Segmentation. ICDM (Workshops) 2013: 163-170 - 2012
- [c1]Emile Richard, Stéphane Gaïffas, Nicolas Vayatis:
Link Prediction in Graphs with Autoregressive Features. NIPS 2012: 2843-2851 - 2011
- [j2]Stéphane Gaïffas, Guillaume Lecué:
Hyper-Sparse Optimal Aggregation. J. Mach. Learn. Res. 12: 1813-1833 (2011) - [j1]Stéphane Gaïffas, Guillaume Lecué:
Sharp Oracle Inequalities for High-Dimensional Matrix Prediction. IEEE Trans. Inf. Theory 57(10): 6942-6957 (2011) - [i1]Stéphane Gaïffas, Guillaume Lecué:
Weighted algorithms for compressed sensing and matrix completion. CoRR abs/1107.1638 (2011)
Coauthor Index
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