African Master of Machine Intelligence, lecturer, The African Institute for Mathematical Sciences, TBD
Modal Seminar, Inria Lille, September 4, 2018
YSU - ISTC Joint Summer School on Machine Learning, summer school lectures on Stochastic Optimization, Yerevan, August 16-18.
Machine Learning and Optimization Laboratory seminar, EPFL, Laussane, July 25.
Paris Optimization seminar, Institut Henri Poincaré, Paris, May 14.
International Symposium of Mathematical Optimization ISMP, organized session on Dimensionality reduction tools for learning: A sketchy session, Bordeaux, July 1-8.
AISTATS, oral presentation on Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods and poster on Greedy stochastic algorithms for entropy-regularized optimal transport problems, Playa Blanca, Lanzarote, Canary Islands, April 9 - 11.
PGMO DAYS 2017, session on Continuous Optimization for Machine Learning, EDF'Lab Paris-Saclay, November.
Optimization 2017, Faculdade de Ciências of the Universidade de Lisboa, Lisboa, September.
The 27th Biennial Numerical Analysis Conference, Randomized Iterative Methods for Computing the Pseudoinverse, University of Strathclyde, Glasgow, June.
18th IMA Leslie Fox Prize in Numerical Analysis, talk awarded 2nd place, University of Strathclyde, Glasgow, June.
SIAM Optimization 2017, Vancouver, Canada, May 22-25.
Optimization, machine learning, and pluri-disciplinarity workshop. Inria Grenoble - Rhone-Alpes, March 21.
Spring School on Optimization and Data Science. University of Novi Sad, Serbia. Lectures (4.5 hours) on an introduction to machine learning and stochastic gradient methods, part I, part II and an exercise. March 13-16.
Probabilistic Numerics Group, Max-Planck-Institute Tübingen, January 25-27.
Operations Research seminar, Center for Operations Research and Econometrics, Université catholique de Louvain, December 13, 2016
Computational Mathematics and Applications seminar, Rutherford Appleton Laboratory, 2pm November 24, 2016
Télécom ParisTech, Machine Learning and Statistics seminar, Paris, November 10
ICCOPT, Tokyo, August 6-11
5th IMA Conference on Numerical Linear Algebra and Optimization, University of Birmingham, UK, September 7-9
International Conference on Machine Learning (ICML), slides, poster, New York, June 19-23
Cambridge Image Analysis group, Randomized iterative methods for linear systems, University of Cambridge, January 15
INRIA Rocquencourt, SIERRA team, Randomized iterative methods for linear systems and inverting matrices, Paris, January 8
Distributed machine learning and optimization, Distributed randomized iterative methods for linear systems, Edinburgh, November 25-27
Columbia University, visiting researcher, New York, July 18th to 2nd of August
ISMP, Action constrained quasi-Newton methods, slides, Pittsburgh, July 12-17
Europt2015, Preconditioning sequences of linear systems with generalizations of quasi-Newton formulas, Edinburgh, UK, July 10
Optimization and Big Data: Workshop, Trek and Colloquium, Randomized iterative methods for linear systems and inverting matrices, slides, Edinburgh, May 6
Irish Applied Mathematics Research Students' Meeting, Hunting inverses of matrix fields, slides, (Won Best talk prize), December 11
Europt2014, Generalizations of the quasi-Newton methods using an image constraint, slides, Perpignan, France, July 10-12
ICCOPT, Third order methods and third order derivatives, Lisbon, July 27th - August 1st, 2013
EURO|INFORMS MMXXIII, Third order methods using slices of the tensor and AD developments, slides, Rome, 1-4th July, 2013 Europt, Florence, June 26-28th, 2013
28th Brazilian Colloquium on Mathematics, Automatic differenciation of Hessian matrices, IMPA, Rio de Janeiro, July 18-29th, 2011
XXXIV CNMAC- Brazilian Society on Appled and Computational Mathematics, A new automatic differentiation mode for sparse Hessian matrices, Águas de Lindóia, 2010