Joseph Salmon

Current position

Assistant Professor at TELECOM ParisTech

Contact

TELECOM ParisTech,
46, rue Barrault,
75634 Paris Cedex 13, France
Office: E 410
Phone: +33 1 45 81 75 47
Email: joseph.salmon aatt telecom-paristech.fr
Github: https://github.com/josephsalmon
Twitter : https://twitter.com/salmonjsph

News

One paper accepted to NIPS2016.
Igor Colin will present our latest work to CAP2016.
One paper accepted to ICML2016.
Two papers accepted to NIPS2015.
Faster version for NLPCA (Matlab code): NLPCA_v2_code.ZIP and NLPCA_hyperspectral_v2_code.ZIP thanks to Anthony Wang and Albert Oh .
MOOC: Fondamentaux pour le Big Data (23 août - 12 octobre 2015)

Latest papers

	CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration C.-A. Deledalle, N. Papadakis, J. Salmon, S. Vaiter, 2016. [bib] \| [pdf]
	Adapting to unknown noise level in sparse deconvolution C. Boyer, Y. De Castro, J. Salmon, 2016. [bib] \| [pdf]
	Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression E. Ndiaye, O. Fercoq, A. Gramfort, V. Leclère, J. Salmon, 2016. [bib] \| [pdf]

	Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions I. Colin, A. Bellet, J. Salmon, S. Clémençon, ICML, 2016. [bib] \| [pdf]
	GAP Safe Screening Rules for Sparse-Group Lasso E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon, NIPS, 2016. [Code] \| [bib] \| [pdf]

Resume

From 2011 to the end of 2012, I was a post-doctoral Associate at Duke university working with Rebecca Willett in the Network and Imaging Science Laboratory (NISLab). In 2010, I finished my PHD in Statistics under the supervision of Dominique Picard and Erwan Le Pennec at the Laboratoire de Probabilités et de Modélisation Aléatoire (LPMA ) in Université Paris Diderot.
My thesis is about the denoising of digital images combining patch-based method and statistical aggregation. The full manuscript can be found in my papers section. I am especially interested in topics such as: aggregation of estimators, Patch based denoising methods, Non-parametric regression, On-line learning.

Research

You can find my papers and my talks slides. I also collect here softwares and other numerical stuffs for reproducing the numerical results presented in my papers.

Teaching

TELECOM ParisTech (2013-)

Measure and integration
Machine learning
Probability theory (advanced)
Statistics
Continuing education

ENS Lyon (2013-2015)

Master 2: Machine Learning; with Zaïd Harchaoui, Laurent Jacob and Julien Mairal
Course website

Paris 7 - Diderot (2013-)

Master 2: Statistical learning; with Stéphan Clémençon
Course website

ATER, Paris 7 - Diderot (2010-2011)

In 2010-2011, I was a lecturer in descriptive statistics for first and second year students with Stéphane Boucheron and A. Belaiche. I was also a lecturer in Statitics at ENSAE for second year students (Master 1 level).

Monitorat, Paris 7 - Diderot (2007-2010)

In 2009-2010, I supervised practical work in Econometrics, for student with level Licence 3. Releavant exercices and other thing will be available here. I was also a lecturer in Statitics at ENSAE for second year students (Master 1 level).
In 2008-2009, I was a project supervisor in mathematics and algorithmic (Master 1 level) with Pierre Alquier and Mohamed Hebiri. Courses, project subjects and exercices sheets are available here.
In 2007-2008, I was a lecturer in Formal Calculus with Maple (Licence 1). Courses and exercices sheets are available in french here.

Other

Here you can find my resume and several links about mathematics, my colleagues and various stuff.