Luigi Malagò

ML and Opt Group | News | CV | Research Interests | Tutorials and Lectures | Publications | Downloads | Teaching Material | Links

Principal Investigator and Group Leader
Machine Learning and Optimization Group website
Romanian Institute of Science and Technology - RIST

Str. Virgil Fulicea nr. 17, 400022 Cluj-Napoca, Romania
Email [my-last-name-without-any-accent]
Office: +40 364 408794

Google Scholar
Mathematics Genealogy Project
(Last update 20 August 2018)

Postdoc positions on Machine Learning, Deep Learning, Optimization, and Information Geometry

  • [20-08-2018] Open postdoc positions on Deep Learning and Machine Learning at the Romanian Institute of Science and Technology - RIST, starting fall 2018
  • [20-08-2018] Open postdoc positions on Machine Learning, Optimization, Deep Learning and Information Geometry, at the Romanian Institute of Science and Technology - RIST starting fall 2018

  • # Next Conferences, Meetings and News

  • AIM Workshop: Boltzmann machines, September 17-21, 2018, American Institute of Mathematics, San Jose, CA, USA
  • Entropy 2018, May 21-24, 2018, Barcelona, Spain
  • The Ninth International Conference on Guided Self-Organisation (GSO-2018) : Information Geometry and Statistical Physics, March 26-28, 2018, Leipzig, Germany
  • GSI2017 - 3rd conference on Geometric Science of Information, November 7-9, 2017, Paris, France
  • TGSI2017 Topological and Geometrical Structure of Information - CIRM conference, August 27 - September 1, 2017, Marseille, France
  • First Italian Meeting on Probability and Mathematical Statistics, June 19 - 22, 2017, Torino, Italy
  • Dagstuhl Seminar Theory of Evolutionary Algorithms, May 7 - 12, 2017, Wadern, Germany
  • PAFT2017 Current Problems in Theoretical Physics - Information Geometry & Quantum Information, April 07 - 10, 2017, Vietri sul Mare, Italy-->
  • Cluj Innovation Days 2017 March 30-21, 2017, Cluj-Napoca, Romania
  • Workshop on the Interface of Statistics and Optimization (WISO) - SAMSI, February 08 - 10, 2017, Duke University, Durham, NC, USA
  • One-day workshop on Algebraic Statistics January 23, 2017, Department of Mathematics, Università di Genova, Italy
  • COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) October 17-18, 2016, Cluj-Napoca, Romania
  • Cluj IT Days 2016 November 18-19, 2016, Cluj-Napoca, Romania
  • [03-10-2016] I just moved to the Romanian Institute of Science and Technology - RIST where I received a 4 years starting grant as Principal Investigator. POC 2014-2020 - ANCSI Competitiveness Operational Programme 2014-2020. Project name: DeepRiemann - Riemannian Optimization Methods for Deep Learning

  • Past events and older news

    # Research Interests

  • Information Geometry and its Applications to Machine Learning
  • Statistical Manifolds and Dually-flat Structures
  • First and Second-order Optimization Methods over Statistical Manifolds: Natural Gradient and alpha-Hessians
  • Stochastic Optimization and Nature-Inspired Optimisation
  • Algebraic Statistics and Exponential Families

  • Research statement

    # Short CV

  • [since 10/2016] Principal Investigator at the Romanian Institute of Science and Technology - RIST, Cluj-Napoca, Romania
  • [05-06/2014 and 06-07/2016] Research Assistant at Collegio Carlo Alberto, Moncalieri, Italy
  • [07/2014-04/2016] Assistant Professor at Shinshu University in Nagano, Japan
  • [10/2014-09/2015] Visiting Scientist at Inria Saclay, TAO team, Orsay Cedex, France
  • [04/2012-04/2014] Postdoc Researcher at Universita' degli Studi di Milano, Italy
  • [07/2012] Dimitris N. Chorafas Foundation Award for the best PhD thesis
  • [03/2012] PhD cum Laude in Information Technology from Politecnico di Milano, Italy
  • [07/2008] Master cum Laude in Computer Science Engineering from Politecnico di Milano / Politecnico di Torino, Italy
  • [12/2006] Diploma of Alta Scuola Politecnica
  • [10/2004] Bachelor cum Laude in Computer Science Engineering from Politecnico di Milano, Italy

  • Short biography

    # Postdocs and PhD Students

    Deepika postdoc researcher
    Dimitri Marinelli postdoc researcher
    Riccardo Volpi postdoc researcher
    Septimia Sarbu postdoc researcher
    Sabin Roman postdoc researcher
    Petru Hlihor phd student, co-supervised by Prof. Dr. Nihat Ay (MPI-MIS)
    Alexandra Pește phd student, co-supervised by Prof. Dr. Nihat Ay (MPI-MIS)

    # Grants

  • Principal Investigator of the DeepRiemann - Riemannian Optimization Methods for Deep Learning (2016-20) project. POC 2014-2020 - ANCSI Competitiveness Operational Programme 2014-2020 (~1.9M EUR)

  • # Tutorials and Lectures slides

  • Tutorial A Bridge between Optimization over Manifolds and Evolutionary Computation at PPSN 2016, Edinburgh, 17 September, 2016
  • Tutorial Information Geometry and Algebraic Statistics on a finite state space and on Gaussian models (together with Giovanni Pistone) at the Algebraic Statistics 2015, Genova, 11 June, 2015. [abstract]
  • Lecture Applications of Information Geometry to Combinatorial Optimization at the PhD Course on Information Geometry in Learning and Optimization, Copenhagen, 22-26 September, 2014. Extra material: [animation]
  • Tutorial Information Geometry in Evolutionary Computation [updated slides] (together with Tobias Glasmachers) at GECCO 2014, Vancouver, 13 July, 2014

  • # Selected Publications

  • L. Malagò, L. Montrucchio, and G. Pistone.
    Wasserstein Riemannian Geometry of Positive Definite Matrices.
    Accepted in Information Geometry, 2018

  • L. Malagò and G. Pistone.
    Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family.
    In Entropy 17(6), special issue on Information, Entropy and their Geometric Structures, 4215-4254, 2015

  • L. Malagò and G. Pistone.
    Combinatorial Optimization with Information Geometry: Newton Method.
    In Entropy 16(8), special issue on Information Geometry, pages 4260-4289, 2014.

  • L. Malagò, M. Matteucci, and G. Pistone.
    Towards the geometry of estimation of distribution algorithms based on the exponential family.
    In Proceedings of FOGA '11, pages 230--242, New York, NY, USA, 2011. ACM.

  • Full list of papers appears here

    # Downloads

  • [09-01-2014] Politecnico di Milano, DEI beamer template (based on Håvard Berland NTNU template) [zip] [pdf]

  • # Teaching Material

  • Babeș-Bolyai University, 2017-18 Datamining, Prof. Anca Andreica
  • Politecnico di Milano, 2013-14 Informatica B, Prof. Daniele Loiacono (in Italian)
  • Politecnico di Milano, 2012-13 Informatica per Ing. Civile, Prof. Salvatore Distefano (in Italian)

  • # Links

  • It’s All Latin to Me: Latin Abbreviations in Scholarly Writing by Chelsea Lee: On the differences between "cf." and "e.g.,".
  • On the differences between "besides" and "beside":
  • How to Write Goals and Objectives for Grant Proposals: using the S.M.A.R.T. method of writing your objectives.
  • Dead links checkers
  • Color scheme for your website