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Talks
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Selected talks

  • A Stochastic Proximal Point Algorithm for Total Variation Regularization over Large Scale Graphs, Conference on Decision and Control, December 2016, Las Vegas, USA

  • [Stochastic Proximal Gradient algorithm]({{site.baseurl}}{% link Talks/fjml.pdf %}), France / Japan Machine Learning Workshop, September 2017, Ecole Normale Supérieure Paris, France

  • [Distributed Douglas Rachford algorithm]({{site.baseurl}}{% link Talks/odissee.pdf %}), ANR ODISSEE meeting, November 2017, Nice Sophia Antipolis University, France

  • [Snake]({{site.baseurl}}{% link Talks/snake_cap.pdf %}), CAp 2017, June 2017, IMAG Grenoble, France

  • [Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs]({{site.baseurl}}{% link Talks/isis.pdf %}), GdR ISIS meeting, February 2018, Télécom Paris, France

  • [A stochastic Forward Backward algorithm with application to large graphs regularization]({{site.baseurl}}{% link Talks/epfl.pdf %}), Machine Learning Optimization seminar, March 2018, Ecole Polytechnique Fédérale de Lausanne, Switzerland

  • [A Splitting Algorithm for Minimization under Stochastic Linear Constraints]({{site.baseurl}}{% link Talks/ismp.pdf %}), ISMP, July 2018, Bordeaux, France

  • [Soutenance de thèse]({{site.baseurl}}{% link Talks/soutenance.pdf %}), November 2018, Télécom Paris, France

  • [Sampling as Convex Optimization]({{site.baseurl}}{% link Talks/sampling.pdf %}), Guest Lecture on Optimization for Machine Learning, March 2019, KAUST, KSA

  • [Stochastic Chambolle-Pock]({{site.baseurl}}{% link Talks/sto-cp.pdf %}), Visual Computing Center showcase, April 2019, KAUST, KSA

  • [Exponential Convergence Time of Gradient Descent for One-Dimensional Deep Linear Neural Networks]({{site.baseurl}}{% link Talks/shamir.pdf %}), Mathematics of Deep Learning seminar, May 2019, KAUST, KSA

  • [On Stochastic Primal--Dual Algorithms]({{site.baseurl}}{% link Talks/iccopt.pdf %}), ICCOPT, August 2019, TU Berlin, Germany

  • [Langevin as an Optimization algorithm]({{site.baseurl}}{% link Talks/lmc.pdf %}), Computer Science Graduate Seminar, November 2019, KAUST, KSA

  • [Stochastic Proximal Langevin Algorithm]({{site.baseurl}}{% link Talks/spla-slides.pdf %}), NeurIPS, December 2019, Vancouver, Canada

  • Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm, Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto, Canada (ONLINE).