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April 1, 2019
New preprint with Juliette Rengot on image denoising.
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February 1, 2019
New preprint with Stéphane Chretien on matrix factorisation.
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February 1, 2019
A new postdoc, Florent Dewez, joins my group at Inria. Welcome!
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January 14, 2019
New preprint on PAC-Bayesian learning.
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December 1, 2018
I am starting a new joint position between Inria and University College London, which I am joining as a principal research scientist!
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November 27, 2018
My student Le Li has (brilliantly) defended his PhD, congratulations! The manuscript is available here: online stochastic algorithms.
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September 11, 2018
Our paper with Le Li and Sébastien Loustau, about quasi-Bayesian online clustering, has been accepted for publication in Electronic Journal of Statistics!
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May 25, 2018
Revised version of our preprint with Le Li and Sébastien Loustau, about quasi-Bayesian online clustering.
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May 22, 2018
New paper with my PhD student L. Li, on sequential learning of principal curves.
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April 27, 2018
New paper with J. Klein, M. Albardan and O. Colot, on Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles.
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March 20, 2018
Our paper on the Python library pycobra with my student Bhargav Srinivasa Desikan has been accepted for publication in JMLR!
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February 12, 2018
Together with Peter Grünwald, I am the co-PI of the joint project-team 6PAC, between Inria and CWI. The team includes Emilie Kaufmann and Wouter M. Koolen. An exciting opportunity for "Making Probably Approximately Correct Learning Active, Sequential, Structure-aware, Efficient, Ideal and Safe"!
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December 9, 2017
I am running the NIPS 2017 workshop (Almost) 50 shades of Bayesian Learning: PAC-Bayesian trends and insights.
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November 8, 2017
Our paper with Pierre Alquier on PAC-Bayesian bounds for hostile data has been accepted for publication in the Machine Learning Journal!
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November 1, 2017
Delighted to greet my new colleague and office mate Pascal Germain. Welcome! Modal is doubling its PAC-Bayes coverage!
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October 28, 2017
Our paper with S. Robbiano on PAC-Bayesian bounds for high-dimensional ranking has been accepted for publication in the Journal of Statistical Planning and Inference!
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October 1, 2017
My new student Arthur Leroy has started his PhD. Welcome!
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September 11, 2017
Our NIPS workshop (Almost) 50 shades of Bayesian Learning: PAC-Bayesian trends and insights has been accepted by NIPS!
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July 27, 2017
New version of our preprint and Python library pycobra with Bhargav Srinivasa Desikan.
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May 26, 2017
Our paper on quasi-Bayesian NMF (with Pierre Alquier) is now published in Mathematical Methods of Statistics!
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April 26, 2017
New preprint with Bhargav Srinivasa Desikan on pycobra, a Python library for ensemble regression analysis and visualisation.
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April 7, 2017
Revised version of our preprint with Le Li and Sébastien Loustau, about quasi-Bayesian online clustering.
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March 27, 2017
New Python library released with Bhargav Srinivasa Desikan: pycobra for ensemble regression analysis and visualisation.
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February 1, 2017
Our paper on quasi-Bayesian NMF (with Pierre Alquier) has been accepted for publication in Mathematical Methods of Statistics!
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January 1, 2017
I got promoted to a first class researcher (CR1) Inria position!
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October 23, 2016
New preprint together with Pierre Alquier, about PAC-Bayesian bounds for hostile data.
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August 24, 2016
Revised version of our preprint with Pierre Alquier, about quasi-Bayesian non-negative matrix factorization.
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August 23, 2016
New preprint together with Alain Celisse, about stability and generalisation bounds for the Leave-one-Out.
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August 22, 2016
My new student Bhargav Srinivasa Desikan has joined Inria. Welcome!
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July 27, 2016
New website!
