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 27 January 2020)

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

  • [09-12-2018] Open postdoc position on Deep Learning and Machine Learning at the Romanian Institute of Science and Technology - RIST, starting early 2019
  • [09-12-2018] Open postdoc position on Machine Learning, Optimization, Deep Learning and Information Geometry, at the Romanian Institute of Science and Technology - RIST starting early 2019

  • # 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
    Hector Javier Hortua Orjuela postdoc researcher
    Riccardo Volpi postdoc researcher
    Septimia Sarbu postdoc researcher
    Sabin Roman postdoc researcher
    Alexandra Albu research assistant
    Alina Enescu research assistant and PhD student at Babeş-Bolyai University of Cluj-Napoca
    Petru Hlihor PhD student, co-supervised by Prof. Dr. Nihat Ay (MPI-MIS)
    Csongor-Huba Várady 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

  • # Submitted papers

  • Riccardo Volpi and L. Malagò.
    Natural Alpha Embeddings.

  • Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli, and L. Malagò.
    Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks.

  • # Selected Publications

  • L. Malagò, L. Montrucchio, and G. Pistone.
    Wasserstein Riemannian Geometry of Positive Definite Matrices.
    In Information Geometry, Volume 1, Issue 2, pp 137-179, 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