Michal Valko : Press

Press articles

Invited talks

  • Invited talk - September 18th, 2017 - Decision Theory and Network Science: Methods and Applications, Lancaster, UK (STOR-i 2017)
  • Side observation in graph bandits - July 11th, 2017 - ICML 2017 workshop on Picky Learners , Sydney, Australia (ICML 2017)
  • 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
  • Graphs in online machine learning - Presented on December 21nd, 2016 at Textkernel talks in Amsterdam, Netherlands (TK 2016)
  • Where is Justin Bieber? - Presented on September 22nd, 2016 at Comenius University 2016 in Bratislava, Slovakia (ITAT 2016) talk
  • Bandit learning - Presented on September 15-19th, 2016 at Information technologies - Applications and Theory 2016 in Tatranské Matliare, High Tatras, Slovakia (ITAT 2016)
  • Decision-making on graphs without graphs - Presented on June 16, 2016 at Graph-based Learning and Graph Mining 2016 in Lille (GBLGM 2016)
  • Sequential learning on graphs with limited feedback - Presented on May 11-13th, 2016 at Data Driven Approach to Networks and Language 2016 at ENS Lyon, France (NETSpringLyon 2016) talk
  • Benefits of Graphs in Bandit Settings - Presented on January 11-12th, 2016 at Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK (STOR-i 2016) talk
  • 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
17-Jul-2017