Michal Valko : Invited talks

2019

  • Invited talk - June 14-15th, 2019, ICML workshop on negative dependence, Long Beach, USA (ICML 2019)
  • Invited talk on research achievements in machine learning - July 3-8, 2019 - RAAI Summer School 2019, Moscow Institute of Physics and Technology (RAAI 2019)
  • 10 year road to breaking the quadratic barrier for graphs and matrices - February 22, 2019 - Theoretical Computer Science seminar Comenius University in Bratislava, Slovakia (CU 2019) talk
  • Graphs are the new gold - February 20, 2019 - Data Analytics Meetings, P.J. Šafárik University in Košice, Slovakia (UPJS 2019)
  • The power of graphs in speeding up online learning and decision making - January 25rd, 2019 - Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, UK (Cambridge 2019)
  • A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption - January 7th, 2019 - Verimag, CNRS Grenoble, France (CNRS 2019) talk
  • The power of graphs in speeding up online learning and decision making - January 8th, 2019 - Verimag, CNRS Grenoble, France (CNRS 2019) talk

2018

  • The power of graphs in speeding up online learning and decision making - October 23rd, 2018 - DeepMind, London, UK (DeepMind 2018) talk
  • Active block-matrix completion with adaptive confidence sets - Presented on September 10-13th, 2018, International Workshop Optimization and Machine Learning, CIMI, Toulouse (CIMI 2018) talk
  • Online influence maximization - Presented on May 14th, 2018, Workshop on Graph Learning, LINCS, Paris (LINCS 2018)
  • Recommender systems - Presented on March 22nd, 2018, Journée Big data, Polytech'Lille (Polytech'Lille 2018)
  • Pliable rejection sampling - Presented on February 8th, 2018 at GDR Isis, Télécom ParisTech in Paris (ISIS 2018) talk
  • Graph Bandits - Presented on January 7th, 2018 at MIST conference in Rajecká Lesná (MIST 2018)

2017

  • SequeL, graphs in ML, and online recommender systems - November 9th, 2017 at R&DV du Plateau Inria 2017 in Lille, France (Euratechnologies 2017) talk
  • Sequential sampling for kernel matrix approximation and online learning - September 19th, 2017 - DeepMind, London, UK (DeepMind 2017)
  • Active learning on networks and online influence maximization - September 18th, 2017 - Decision Theory and Network Science: Methods and Applications, Lancaster, UK (STOR-i 2017) talk
  • Side observation in graph bandits - August 11th, 2017 - ICML 2017 workshop on Picky Learners , Sydney, Australia (ICML 2017)
  • (Impromptu talk) Efficient second-order online kernel learning with adaptive embedding - July 9th, 2017 - Conference on Learning Theory, Amsterdam, Netherlands (COLT 2017) talk
  • Distributed sequential sampling for kernel matrix approximation - Presented on June 29nd, 2017 at L’Institut de Mathématiques de Toulouse, France (IMT 2017) talk
  • Online sequential solutions for recommender systems Invited talk on June 14th, 2017 at Journées Scientifiques Inria 2017 in Nice, France (JS 2017)
  • Mais où se cache Justin Bieber ? Ou comment maximiser la détection des influenceurs sur les réseaux sociaux ? Popularization invited talk on May 30th, 2017 at Inria Lille, France (13:45 2017)
  • Invited talk on March 30th, 2017 at Dating day 2017 in Lille, France (Dating 2017)
  • Distributed sequential sampling for kernel matrix approximation - Presented on March 22nd, 2017 at Joint seminar of MuSyAD group of Universität Potsdam and Amazon at Amazon Berlin, Germany (Berlin 2017) talk

2016

2015 and before

  • Online decision-making on graphs - Presented on April 14th, 2015 at DaSciM, LIX, École Polytechnique, France (X 2015)
  • Bandits on Graphs: Exploiting Smoothness and Side Observations, Presented on December 16th, 2014 at CMLA at ENS Cachan, France (ENS 2014) talk
  • Optimistic Optimization - Presented on January 7th, 2014 at MIST conference in Fačkovské sedlo (MIST 2014)
  • Sequential Face Recognition with Minimal Feedback - Presented on May 2nd, 2013 at 30 minutes of Science, Lille (30MIN 2013)
  • One Class Learning From Streams of Unlabeled Data - Presented on September 17th, 2012 at Large-scale Online Learning and Decision Making (LSOLDM 2012)
  • Scaling Graph-Based Algorithms - Presented on July 20th, 2012 at LAMPADA workshop (LAMPADA 2012)
  • Large Scale Sequential Learning - Presented on April 8th, 2012 at Slovak Oxford Science (Oxford UK 2012)
  • Adaptive Graph-Based Algorithms - Presented on July 6th, 2011 at Microsoft Research Redmond (MSR 2011) video video archive
  • Online Semi-Supervised Learning- Presented in July 2011, at MPI Tuebingen, Germany (MPI 2011)
  • Semi-supervised Learning with Random Walks on Graphs - Presented at 6th Comenius University Alumni conference (TAM 2009) talk
10-Mar-2019