Stéphane Gaïffas

发表

A generalization error bound for sparse and low-rank multivariate Hawkes processes

E. Bacry, J. Muzy, Stéphane Gaïffas, 2015 .

Concentration inequalities for matrix martingales in continuous time

Emmanuel Bacry, Stéphane Gaïffas, Jean-François Muzy, 2018 .

ZiMM: a deep learning model for long term adverse events with non-clinical claims data pdf

Emmanuel Bacry, Stéphane Gaïffas, Yiyang Yu, 2019, ArXiv.

Robust methods for high-dimensional linear learning

Stéphane Gaïffas, Ibrahim Merad, 2022, ArXiv.

Concentration inequalities for matrix martingales in continuous time

E. Bacry, J. Muzy, Stéphane Gaïffas, 2017, Probability Theory and Related Fields.

Universal consistency and minimax rates for online

Jaouad Mourtada, Stéphane Gaïffas, 2017 .

Weighted algorithms for compressed sensing and matrix completion pdf

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2011, ArXiv.

Uncovering Causality from Multivariate Hawkes Integrated Cumulants

Emmanuel Bacry, Stéphane Gaïffas, Jean-François Muzy, 2016, ICML.

Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework

Stéphane Gaïffas, Agathe Guilloux, Vincent Looten, 2018, BMC Medical Research Methodology.

Sparse and low-rank multivariate Hawkes processes

Emmanuel Bacry, Stéphane Gaïffas, Martin Bompaire, 2015, J. Mach. Learn. Res..

tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models

Emmanuel Bacry, Stéphane Gaïffas, Martin Bompaire, 2017, J. Mach. Learn. Res..

An improper estimator with optimal excess risk in misspecified density estimation and logistic regression

Jaouad Mourtada, Stéphane Gaïffas, 2019, J. Mach. Learn. Res..

C-mix: A high-dimensional mixture model for censored durations, with applications to genetic data

Stéphane Gaïffas, Agathe Guilloux, Anne-Sophie Jannot, 2016, Statistical methods in medical research.

Mean-field inference of Hawkes point processes pdf

Emmanuel Bacry, Stéphane Gaïffas, Jean-François Muzy, 2015, ArXiv.

Sharp Oracle Inequalities for High-Dimensional Matrix Prediction

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2011, IEEE Transactions on Information Theory.

Sharp Oracle Inequalities for High-Dimensional

Guillaume Lecué, Stéphane Gaïffas, 2011 .

AMF: Aggregated Mondrian forests for online learning pdf

Stéphane Gaïffas, Erwan Scornet, Jaouad Mourtada, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

WildWood: a new Random Forest algorithm pdf

Stéphane Gaïffas, Ibrahim Merad, Yiyang Yu, 2021, ArXiv.

Robust methods for high-dimensional linear learning

Stéphane Gaïffas, Ibrahim Merad, 2022, J. Mach. Learn. Res..

Link prediction in graphs with autoregressive features

Stéphane Gaïffas, Nicolas Vayatis, Emile Richard, 2012, J. Mach. Learn. Res..

About contrastive unsupervised representation learning for classification and its convergence pdf

Emmanuel Bacry, Stéphane Gaïffas, Ibrahim Merad, 2020, ArXiv.

Robust supervised learning with coordinate gradient descent

Stéphane Gaïffas, Ibrahim Merad, 2022, Statistics and Computing.

On the optimality of the Hedge algorithm in the stochastic regime

Stéphane Gaïffas, Jaouad Mourtada, Jaouad Mourtada, 2018, J. Mach. Learn. Res..

Self-Exclusion among Online Poker Gamblers: Effects on Expenditure in Time and Money as Compared to Matched Controls

E. Bacry, Stéphane Gaïffas, A. Benyamina, 2019, International journal of environmental research and public health.

Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption pdf

Emmanuel Bacry, Stéphane Gaïffas, Martin Bompaire, 2018, ArXiv.

SGD with Variance Reduction beyond Empirical Risk Minimization pdf

Emmanuel Bacry, Stéphane Gaïffas, Agathe Guilloux, 2015, ArXiv.

Learning the Intensity of Time Events With Change-Points

Stéphane Gaïffas, Agathe Guilloux, Mokhtar Z. Alaya, 2015, IEEE Transactions on Information Theory.

Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data pdf

Emmanuel Bacry, Stéphane Gaïffas, Jordi Badosa, 2021, ArXiv.

WildWood: A New Random Forest Algorithm

Stéphane Gaïffas, Yiyang Yu, Ibrahim Merad, 2021, IEEE Transactions on Information Theory.

Anytime Hedge achieves optimal regret in the stochastic regime pdf

Stéphane Gaïffas, Jaouad Mourtada, Jaouad Mourtada, 2018, ArXiv.

Hyper-Sparse Optimal Aggregation

Stéphane Gaïffas, Guillaume Lecué, Guillaume Lecué, 2009, J. Mach. Learn. Res..

Adaptive estimation of the conditional intensity of marker-dependent counting processes

F. Comte, Stéphane Gaïffas, F. Comtea, 2008, 0810.4263.

Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization

Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy, 2023, ArXiv.

ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection.

Maryan Morel, Emmanuel Bacry, Stéphane Gaïffas, 2017, Biostatistics.

Convergence and concentration properties of constant step-size SGD through Markov chains

Stéphane Gaïffas, Ibrahim Merad, 2023, ArXiv.

Robust Stochastic Optimization via Gradient Quantile Clipping

Stéphane Gaïffas, Ibrahim Merad, 2023, ArXiv.

Universal consistency and minimax rates for online Mondrian Forests

Stéphane Gaïffas, Erwan Scornet, Jaouad Mourtada, 2017, NIPS.