Michal Valko : News

Research, talks, awards, students, and media updates. Subscribe via RSS.

  1. Speaking at AI2FUTURE 2026 (participation under discussion), October 28-29, 2026 (tentative), Kraš Auditorium, Ravnice 48, Zagreb, Croatia. event
  2. Speaking at DTIT 20th Anniversary Event (participation under discussion), October 27, 2026 (tentative), Theatre in Košice, Slovakia.
  3. Espresso grande: Recorded interview in Prague with Romana Gombarčeková.
  4. Speaking at Solar Turbines Digital AI Team: “World Models for Turbines”, October 8, 2026, 10:45-12:15, Solar Turbines EAME Ltd., Za Ženskými domovy 3379, Praha 5-Smíchov, Czechia.
  5. Czech National Bank: Public session on frontier AI capabilities, productivity, labor markets, public institutions, and implications for central banking, with Manoj Pradhan and Iman van Lelyveld; moderated by Stephanie Haffner. Czech National Bank
  6. Speaking at O2 Slovensko 20th Anniversary (participation under discussion), February 4, 2027, evening (tentative), Stará tržnica, Bratislava, Slovakia.
  7. Invited to speak at O2 Slovensko's 20th anniversary celebration in Bratislava on February 4, 2027.
  8. Na jednej vlne: Invited to a one-hour interview in Bratislava; October 15 morning proposed, recording date and time not yet confirmed.
  9. Speaking at Fifth Bellairs Workshop on Causality: “World Models, Causality, and Agents”, February 26 - March 5, 2027, Bellairs Research Institute, Barbados. event
  10. Speaking at Gymnázium Evolution Jižní Město: “How to Train Your AI (Without Letting It Copy Your Homework)”, October 7, 2026, 09:25-11:00, Gymnázium Evolution Jižní Město, Prague, Czechia.
  11. TV JOJ interview on October 15 in Bratislava.
  12. Espresso grande video: Interview recording in Prague.
  13. Gave an adidas AI talk, “When AI Learns to Tie Its Shoes: A Future Beyond LLMs”, for adidas AG in Herzogenaurach, Germany. 👟
  14. Invited to STVR’s Do kríža for a television debate on current AI developments, benefits, risks, and broader implications.
  15. Interview with Libération journalist Olivier Monod on rewards in AI, conflicting objectives, and limitations of reward-based approaches.
  16. Speaking at the Centre Jean Gol conference “China: Partner, Competitor, or Enemy of the EU?” in Brussels on October 16. event
  17. Joining NVIDIA Startup Day Berlin at GTC Berlin on October 20 for the panel “Building and Scaling European Models”.
  18. New preprint with Denis Zorba: An analysis of mirror-descent soft actor-critic
  19. Written SME interview for Respect Forum / Slovak Telekom.
  20. France Culture: joining La Fabrique de l’information for a live public discussion on AI risk narratives, superintelligence, and separating concrete risks from alarmist myths.
  21. Joining a new AI event in the Dolomites, Italy, March 8-12, 2027. Looking forward to it!
  22. Franceinfo: Genuine Concern or Economic Interest? Why AI Giants Are Calling for More Regulation. Franceinfo
  23. New Veda odpovedá (SOVVA) podcast episode, Prečo umelá inteligencia klame?, on AI hallucinations, model limits, and how to verify AI-generated information. Listen on Podbean, Spotify, Apple Podcasts.
  24. Interview with Denník N journalist Tomáš Hrivňák on AI existential-risk narratives, media framing, and concrete technical risks.
  25. Speaking at the ACE Talk Series at Microsoft Research Asia on September 17 (online)!
  26. Interview in Denník N on recent AI-agent security incidents: Leading AI Labs Alarmed the World With Their Models' Autonomous Hacking Attacks the key risk is how people deploy them.
  27. Technical report: DiG-bench: Discovery in Games, paper a benchmark for scientific discovery through interaction and experimentation!
  28. ASAI Stream features my AI Personality 2026 recognition for Social Impact of the Year: weekly Slovak AI ecosystem overview!
  29. Invited talk at the Armenia LLM Summer School in Yerevan, Armenia (Aug 3-7)!
  30. Interview in Grand Magazine: Majme v umelej inteligencii nášho partnera, nie rozhodcu!
  31. Speaking at Future Week 2026 in Bergen, Norway!
  32. Talk at Krafton AI in Seoul, South Korea!
  33. Talk at the Global AI Show: AI 2030 in Riyadh, Saudi Arabia (June 29-30)!
  34. Keynote at the European Commission JRC High-Level Event on Democracy in Brussels!
  35. Won ASAI AI Osobnosť 2026: 1st prize for AI Social Impact of the Year and 2nd prize for AI Innovator of Slovakia, photo!
  36. Lecturing at the International Summer School on Generative AI at Sapienza Università di Roma (June 22-26)!
  37. Keynote at the Critical Ventures Ecosystem Summit 2026 in Lisbon (June 21-22)!
  38. Invited talk at Jarná ITAPA 2026 in Bratislava!
  39. Talk at the Orange Business Conference, video in Bratislava!
  40. Online talk for AI Day 2 at ZŠ Valaliky, Slovakia!
  41. Lecturing at the Reinforcement Learning Summer School (RLSS) in Milan, Italy!
  42. Lecturing at the Advanced Course on Data Science & Machine Learning in Castiglione della Pescaia, Tuscany (June 8-12)!
  43. Jürgen Schmidhuber gives a shout-out to BYOL in his lecture "World Models, RL, and the Year that Changed AI" (at 1:18:21)!
  44. Celebrating 1 year of Isara Labs: photo!
  45. Panel at GLOBSEC Forum 2026 in Prague (May 21-23)!
  46. Talk on "How Large Language Models Learn to Reason" at the Giorgi Nikoladze Scientific Research Center Seminar, Kutaisi International University, Georgia!
  47. Talk at Rhizome Séminaire in Paris!
  48. Talk at the Artificial Intelligence + Quantum Conference in Košice (May 11-12)!
  49. Talk at GHOST Day: Applied Machine Learning Conference in Poznań, Poland (May 8-9)!
  50. Accepted at ICML 2026: Language Generation with Replay: A Learning-Theoretic View of Model Collapse with G. Racca and A. Sanyal!
  51. Invited talk at the Slovak Oxford Science Conference 2026 in Payerbach, Austria (April 29 - May 2)!
  52. Speaking at IT/AI Night organized by Slovak Global Network at STU Bratislava (~500 attendees)!
  53. Public conversation at KInIT in Bratislava: Where Are Humans Still Better Than AI? Michal Valko on Uncertainty and the Future of Technology!
  54. Invited talk at KInIT (Kempelen Institute, Bratislava) on what is new in our research!
  55. Keynote at AI Day at FMUK Bratislava!
  56. New preprint on optimal last-iterate convergence in matrix games with bandit feedback: Log-barrier for matrix games with C. Fiegel, P. Ménard, T. Kozuno, and V. Perchet!
  57. Podcast interviews in April: Digitálna Strelka, Veda na dosah, Veda odpovedá!
  58. The Wall Street Journal writes about Isara: OpenAI Backs New AI Startup Seeking Bot Army Breakthroughs
  59. New preprint on model collapse from a learning-theoretic perspective: Language Generation with Replay with G. Racca and A. Sanyal!
  60. BreakingAI News interview, Machines Can Think!
  61. Forbes: Who to watch in 2026 - These Slovaks are playing in the world's top league! Forbes article
  62. Congrats to Daniil Tiapkin for defending his thesis in December 2025 and joining DeepMind! Daniil Tiapkin, thesis
  63. Congrats to Lisa Bedin for defending her thesis in 2025! Lisa Bedin, thesis
  64. New Master student Andrej Špitalský (2025), co-supervised with D. Tiapkin!
  65. New PhD student at University of Copenhagen (2025-2028) Giorgio Racca, co-supervised with A. Sanyal!
  66. Congrats to Côme Fiegel for defending his thesis in 2025! Côme Fiegel
  67. Game theory paper accepted to ICML 2025!
  68. I became an Ambassador for FR8!
  69. Advisory Board member for GHOST Day: Applied Machine Learning Conference (Poland 2025, 2026).
  70. Became an Envoy for ESET Science Award!
  71. Advising Mistral AI, Fastino, Mercor, HaizeLabs, Atla and many more AI startups!
  72. Angel investor in Entalpic, Forgent AI!
  73. Became a Venture Partner at Sparkle Ventures, Formula VC, KAYA VC, Cherry Ventures, Visionaries!
  74. I served as an area chair for NeurIPS 2024.
  75. Paper on online RLHF accepted to NeurIPS 2024!
  76. Teaching at MVA/ENS Paris-Saclay for 2024-2025! Graphs in Machine Learning
  77. I co-organized the ICML 2024 workshop on LLM alignment.
  78. I gave an invited talk on LLM alignment at ICML 2024.
  79. I served as a senior area chair for ICML 2024.
  80. I gave an invited talk on online RLHF at Google Research in 2024.
  81. I gave a keynote talk on alignment at the European AI Summit 2024.
  82. I gave an invited talk on reinforcement learning from human feedback at DeepMind Paris
  83. New postdoc joined the team in 2024! Pierre Ménard
  84. I became the Founding Researcher at Isara Labs!
  85. Four LLM alignment papers accepted to ICML 2024!
  86. We released Llama 3, check it out! Llama 3 in 2024.
  87. I became a Principal Llama Scientist of Meta's GenAI in Paris! Principal Llama Scientist
  88. IPO paper accepted to IPO, AISTATS 2024!
  89. Paper on scalable fine-tuning accepted to AISTATS 2024!
  90. Fast-forward ⏩ alignment research with Nash learning from human feedback!
  91. One RLHF theory and one exploration bonus paper at ICLR 2024!
  92. Paper on test-time computation for LLMs accepted to ICLR 2024!
  93. I co-organized the NeurIPS 2023 workshop on representation learning.
  94. I served as a senior area chair for NeurIPS 2023.
  95. A new RLHF paper from our group! RLHF paper
  96. Another RLHF result, this time includes learning rates for RLHF! RLHF result
  97. An RL paper on learning rate randomization accepted to NeurIPS 2023!
  98. Teaching at MVA/ENS Paris-Saclay for 2023-2024! Graphs in Machine Learning
  99. Paper on representation learning for world models accepted to NeurIPS 2023!
  100. Co-organized EEML 2023 in Slovakia!
  101. Paper on self-supervised learning for video accepted to ICCV 2023!
  102. I served as an area chair for ICML 2023.
  103. I gave a tutorial on reinforcement learning from human feedback at ICML 2023.
  104. BOLD (ANR) project accepted for 2019-2023 (PI: V. Perchet).
  105. Apply for DeepMind Paris internships for Summer 2023. DeepMind Paris internships
  106. I gave an invited talk on BYOL and self-supervised learning at Facebook AI Research in 2023.
  107. I gave an invited talk on world models at MIT in 2023.
  108. I gave an invited talk on game-theoretic approaches to alignment at Stanford in 2023.
  109. Nine papers including two orals accepted to ICML 2023!
  110. BIG NEWS: Outstanding paper award at ICML 2023 for our game theory work! ICML 2023, game theory work
  111. Paper on efficient exploration in RL accepted to ICML 2023!
  112. Paper on bandit algorithms with graph structure accepted to AISTATS 2023!
  113. Two papers on RL accepted to NeurIPS 2022!
  114. BYOL-Hindsight led by Dan Jarret accepted to NeurIPS 2022 DeepRL Workshop!
  115. Teaching at MVA/ENS Paris-Saclay for 2022-2023! Graphs in Machine Learning
  116. Congrats to Jean Tarbouriech for defending his thesis on July 6th, 2022! Jean Tarbouriech
  117. BYOL-Explore that performs representation learning and exploration together is out! BYOL-Explore
  118. Apply for DeepMind Paris internships for Summer 2022. DeepMind Paris internships
  119. Three papers accepted to ICML 2022!
  120. Our paper From Dirichlet to Rubin received a long oral at ICML 2022! (< 2%) From Dirichlet to Rubin
  121. Congrats to Omar D. Domingues for defending his thesis on March 18th, 2022! Omar D. Domingues
  122. Two RL papers accepted to AISTATS 2022!
  123. BGRL accepted to ICLR 2022!
  124. Joined the editorial boards of TMLR, JMLR, MLJ.
  125. Congrats to Xuedong Shang for defending his thesis on September 29th, 2021! Xuedong Shang
  126. Five papers accepted to NeurIPS 2021, including 1 oral and 2 spotlights! NeurIPS 2021
  127. Teaching at MVA/ENS Paris-Saclay for 2021-2022! Graphs in Machine Learning
  128. BraVe, self-supervised learning framework for video, accepted to ICCV 2021!
  129. Our minimax SSP work was invited to be presented as RL Theory seminar! minimax SSP
  130. IXOMD was invited to be presented as RL Theory seminar!
  131. I served as an area chair for ICLR 2021.
  132. Six papers accepted to ICML 2021, including the long talk on UCBMQ! ICML 2021
  133. KeRNS algorithm for non-stationary kernel RL accepted to AISTATS 2021!
  134. The Graphs in ML MVA course started on January 5th, 2021 and was taught by Daniele Calandriello.
  135. Three papers on reinforcement learning theory accepted to ALT 2021!
  136. Promoted to Senior Staff Research Scientist at DeepMind Paris!
  137. Congrats to Julien Seznec for defending his thesis on December 15th, 2020! Julien Seznec
  138. I served as an area chair for NeurIPS 2020.
  139. Congrats to Pierre Perrault for defending his thesis on November 30th, 2020! Pierre Perrault
  140. After 4 years, the full Spectral Bandits paper with the lower bound is now online. now online
  141. Five papers accepted to NeurIPS 2020 including two oral talks for BYOL and DISCO and 1 spotlight! NeurIPS 2020
  142. Yannic Kilcher made a YouTube video about our BYOL work! YouTube video
  143. Three months of lockdown led to our three months intense self-supervised learning :-). BYOL is out! BYOL is out!
  144. I gave 3 online talks on BYOL in November and December 2020. BYOL
  145. Congrats to Guillaume Gautier for defending his thesis on May 19th, 2020! Guillaume Gautier
  146. Eight papers accepted to ICML 2020. "See" you in Vienna! ICML 2020
  147. Covariance-adapting semi-bandits paper accepted to COLT 2020. "See" you in Graz! COLT 2020
  148. I gave an invited course on reinforcement learning at Math of Machine Learning Winter School during February 19th-22nd, 2020 in Sochi, Russia. Math of Machine Learning Winter School
  149. Four papers accepted to AISTATS 2020. "See" you in Palermo! AISTATS 2020
  150. I served as an area chair for NeurIPS 2019.
  151. Congrats to Omar and Guillaume for their NeurIPS 2019 travel awards!
  152. Congrats to Jean-Bastien Grill for defending his thesis in 2019 and joining DeepMind! Jean-Bastien Grill, thesis
  153. Joined DeepMind Paris as a Staff Research Scientist!
  154. I gave an invited talk during October 16th-18th, 2019 at GIF 2019, Yerevan, Armenia. GIF 2019
  155. I gave an invited talk during September 26-27, 2019 at Lancaster and DeepMind Bandit Workshop, London, UK. Lancaster and DeepMind Bandit Workshop
  156. I gave a talk during September 25-26, 2019, at Recent developments in kernel methods, UCL, London, UK. Recent developments in kernel methods
  157. Four papers accepted to NeurIPS 2019. See you in Vancouver and Whistler! NeurIPS 2019
  158. I gave an invited talk on July 23rd, 2019 for Cisco in Kraków, Poland. Cisco
  159. I gave an invited talk at Yandex HQ on July 5th, 2019 in Moscow, Russia. Yandex
  160. I gave an invited talk during July 3rd-8th, 2019 at RAAI Summer School 2019, Moscow Institute of Physics and Technology. RAAI Summer School 2019
  161. I was on the program committee for COLT 2019.
  162. I gave an invited talk on June 14th-15th, 2019 at ICML workshop on negative dependence.
  163. On June 3rd-4th, 2019 we organized The power of graphs workshop. The power of graphs, Laura Toni
  164. I became a reelected member of Inria Evaluation Committee for 2015-2019. Inria Evaluation Committee
  165. I gave two invited talks on January 7th and 8th, 2019 at Verimag, CNRS Grenoble, France. Verimag
  166. We organized Optimizing Human Learning 2019 workshop. Optimizing Human Learning 2019
  167. We organized Reinforcement Learning Summer SCOOL on 1-12 July 2019 in Lille, France. Reinforcement Learning Summer SCOOL
  168. I gave an invited talk on May 28th, 2019 at Theoretical Computer Science seminar at CU in Bratislava. Theoretical Computer Science seminar
  169. Two papers accepted to ICML 2019. See you in Long Beach! ICML 2019
  170. A GP-UCB sparsification paper accepted to COLT 2019. See you in Phoenix! COLT 2019
  171. I gave an invited talk on February 20th, 2019 at Data Analytics Meetings at UPJŠ in Košice. Data Analytics Meetings
  172. Three papers accepted to AISTATS 2019. See you in Okinawa! AISTATS 2019
  173. I gave an invited talk on January 25th, 2019 at DPMMS, U. Cambridge, UK. DPMMS
  174. P. Ménard joined as a postdoc! P. Ménard
  175. Two papers on black-box optimization accepted to ALT 2019! ALT 2019
  176. I served as an area chair for NeurIPS 2018.
  177. DPPy: Sampling determinantal point processes with Python released!
  178. Pierre Perrault gave an invited talk on Stochastic multi-arm bandit problem at Lambda seminar, Université de Bordeaux.
  179. Starting October 1st, 2018, I taught Graphs in Machine Learning in MVA Master at ENS Paris-Saclay! Graphs in Machine Learning, MVA Master, ENS Paris-Saclay
  180. I gave an invited talk on September 10th-13th, 2018 at International Workshop on Optimization and Machine Learning at CIMI, Toulouse. Optimization and Machine Learning
  181. Brownian motion optimization accepted to NeurIPS 2018! See you in Montréal! NeurIPS 2018
  182. A paper on optimistic optimization accepted to EWRL 2018. EWRL 2018
  183. A paper on scattering for deep learning accepted to ECCV 2018. ECCV 2018
  184. ICML Top 10 Reviewer Award at ICML 2018!
  185. I co-organized CNRS Summer school on Networks, Graphs, and Machine Learning (RESCOM 2018) in Porquerolles, June 18-22, 2018. RESCOM 2018
  186. We organized Optimizing Human Learning workshop. Optimizing Human Learning
  187. Congrats to Daniele Calandriello for winning the prize for the Best AI Thesis from France in 2018. Inria press release, Inria article, CNRS article
  188. I gave an invited talk for Workshop on Graph Learning, LINCS, Paris, on May 14th, 2018. Workshop on Graph Learning
  189. A paper on distributed graph sparsification accepted to ICML 2018. See you in Stockholm! ICML 2018
  190. A bandit paper on best of both worlds accepted to COLT 2018. See you in Stockholm! COLT 2018
  191. I gave an invited talk at Journée Big data, Polytech'Lille on March 22nd, 2018, in Lille. Journée Big data, Polytech'Lille
  192. I gave an invited talk for GDR ISIS on February 8th, 2018 at Télécom ParisTech.
  193. I gave an invited talk on January 7th, 2018 at MIST 2018.
  194. Received Inria award for scientific excellence for 2018-2021: Prime d'excellence scientifique.
  195. DELTA (EU CHIST-ERA) project accepted for 2018-2022 (Project Coordinator, PI: A. Jonsson). DELTA
  196. Congrats to Daniele Calandriello for defending his thesis on December 18th, 2017! Daniele Calandriello
  197. Adobe research highlights our work on online influence maximization presented at NIPS 2017. online influence maximization
  198. I gave a talk on November 9th, 2017 at Plateau Inria Euratechnologies.
  199. Starting October 2nd, 2017, I taught Graphs in Machine Learning in MVA Master at ENS Paris-Saclay! Graphs in Machine Learning, MVA Master, ENS Paris-Saclay
  200. I gave a talk on September 19th, 2017 at DeepMind, London.
  201. I gave a talk on September 18th, 2017 at Decision Theory and Network Science, Lancaster, UK (STOR-i 2017) Decision Theory and Network Science
  202. Équipe associée Nord-Européenne accepted to work with A. Carpentier on Adaptive allocation of resources for recommender systems.
  203. Two papers accepted to NIPS 2017. See you in California! NIPS 2017
  204. I gave a talk on July 11th, 2017 at ICML 2017 workshop on Picky Learners. ICML 2017 workshop on Picky Learners
  205. Congrats to Guillaume and Daniele for their travel grants to ICML 2017. ICML 2017
  206. I gave a talk on June 28th, 2017 for L'Institut de Mathématiques de Toulouse.
  207. I gave a talk on June 14th, 2017 at Journées Scientifiques Inria 2017 in Nice, France.
  208. Extra-Learn (ANR) project accepted for 2014-2017 (PI: A. Lazaric).
  209. I gave a popularization talk on maximizing influencer detection on social networks at Inria Lille.
  210. Two papers accepted to ICML 2017. See you in Australia! ICML 2017
  211. Congrats to Daniele for receiving travel grants to AISTATS 2017. AISTATS 2017
  212. I gave a talk on March 22nd, 2017 at Universität Potsdam at Amazon in Berlin.
  213. Spectral Bandits accepted for publication to JMLR. JMLR
  214. Two papers accepted to AISTATS 2017. See you in Florida! AISTATS 2017
  215. New projects starting: LeLivreScolaire.fr - Sequential Learning for Educational Systems (PI, 2017-2020), Allocate with U. Potsdam (PI, 2017-2019), BoB (ANR, PI: R. Bardenet, 2016-2020).
  216. I gave an invited talk on December 21st, 2016 at Textkernel talks series in Amsterdam. Textkernel talks series
  217. Congrats to Tomáš Kocák for defending his thesis in 2016! Tomáš Kocák, thesis
  218. Starting October 3rd, 2016, I taught Graphs in Machine Learning in MVA Master at ENS Paris-Saclay! Graphs in Machine Learning, MVA Master, ENS Paris-Saclay
  219. I gave an invited talk on September 22nd, 2016 at Theoretical Computer Science seminar in Bratislava. Theoretical Computer Science seminar
  220. I gave an invited talk on September 15th-19th, 2016 at ITAT 2016 conference at High Tatras, Slovakia. ITAT 2016
  221. TrailBlazer paper on sample-efficient Monte-Carlo planning accepted as oral presentation to NeurIPS 2016! NeurIPS 2016
  222. My habilitation thesis, Bandits on graphs and structures, is now online. Bandits on graphs and structures
  223. I gave an invited talk on June 16th, 2016 at Graph-based Learning and Graph Mining in Lille. Graph-based Learning and Graph Mining
  224. On June 15th, 3:30 PM at ENS Paris-Saclay, I defended my HdR thesis on Bandits on Graphs and Structures! Bandits on Graphs and Structures
  225. I gave an invited talk on May 13th, 2016 at Network Science Thematic Semester, at ENS Lyon. Network Science Thematic Semester
  226. One paper accepted to ICML 2016 and two to UAI 2016. See you in NYC! ICML 2016, UAI 2016
  227. Bayesian policy gradient and actor-critic algorithms accepted to JMLR. JMLR
  228. Two graph bandit papers accepted to AISTATS 2016! AISTATS 2016
  229. I gave an invited talk at Multi-armed Bandit Workshop in Lancaster, UK. Multi-armed Bandit Workshop
  230. Starting September 28th, 2015, I taught Graphs in Machine Learning in MVA Master at ENS Paris-Saclay! Graphs in Machine Learning, MVA Master, ENS Paris-Saclay
  231. Parallel Optimistic Optimization paper accepted to NIPS 2015! NIPS 2015
  232. SequeL hosted ICML 2015 in Lille! ICML 2015
  233. ICML Reviewer Award at ICML 2015!
  234. I was elected to be a member of Inria Evaluation Committee for 2014-2015. Inria Evaluation Committee
  235. Received Comenius University Distinguished Alumni award!
  236. Polymatroid Bandits accepted for publication to JMLR. JMLR
  237. MESSI (MaxEnt SSIRL) paper accepted to IJCAI 2015 in Argentina. IJCAI 2015
  238. Two bandit papers accepted to ICML 2015 in Lille, France. ICML 2015
  239. Inria's press interview with N. Vayatis and myself about MVA's Graphs in ML. French, English
  240. Intel face recognition advertising video.
  241. Starting in January 2015, I taught Graphs in Machine Learning in MVA Master at ENS Paris-Saclay! Graphs in Machine Learning, MVA Master, ENS Paris-Saclay
  242. EduBand, associated team project with Carnegie Mellon, accepted for 2015-2018 (with A. Lazaric and E. Brunskill).
  243. Three papers on practical bandit settings accepted to NeurIPS 2014! NeurIPS 2014
  244. Ford and Intel Mobii project using Face Recognition at Engadget. Engadget
  245. Elected member of Inria Evaluation Committee (CE Inria, 2014-2019).
  246. I became CR1, an experienced junior scientist, at Inria in 2014.
  247. We established an Erasmus agreement between École Centrale, Lille and U. Comenius, Bratislava for Computer Science. École Centrale, Lille, U. Comenius, Bratislava
  248. Ford prototype using Face Recognition at Intel. Intel
  249. Two Spectral Bandit papers accepted to ICML 2014, AAAI 2014!
  250. Bandits attack function optimization paper accepted to CEC 2014. CEC 2014
  251. I organized a plenary Inria talk by Jennifer Healey on Transportation Futures.
  252. Received Inria award for scientific excellence for 2014-2017: Prime d'excellence scientifique.
  253. Recorded talk from ICML 2013 on StoSOO is online. online
  254. Promoted to tenured experienced scientist at Inria Lille with SequeL team!
  255. I was on the organizing committee of JFPDA 2013. JFPDA 2013
  256. Inria publishes an article about our work at INTEL on Face Recognition. Face Recognition
  257. Kernelised contextual bandits paper accepted to UAI 2013, see you in Bellevue, WA! UAI 2013
  258. INTEL/Inria collaboration: Signed INTEL funded project on Internet of Things research.
  259. StoSOO paper accepted to ICML 2013! ICML 2013
  260. FG 2013 paper accepted. See you in April in Shanghai! FG 2013
  261. I was at ICML, EWRL 2012 in Edinburgh in July 2012.
  262. I gave a talk at Large-Scale Online Learning and Decision-Making Workshop in Windsor, UK.
  263. EWRL 2012 paper accepted for presentation. EWRL 2012
  264. Our article was accepted to the JMLR post-proceedings of EWRL 2012. EWRL 2012
  265. I was the opening speaker at Slovak Oxford Science 2012.
  266. An article accepted to JBI 2012. JBI 2012
  267. An article accepted to International Journal of Dentistry. article
  268. I became a junior researcher at Inria Lille - Nord Europe with SequeL team.
  269. Joined Inria Lille as a postdoc with Rémi Munos in team SequeL!
  270. CompLACS (EU FP7) project accepted for 2011-2015 (PI: J. Shawe-Taylor). CompLACS
  271. I submitted the final version of my dissertation on August 18th, 2011. final version
  272. I defended my dissertation on August 1st, 2011. dissertation
  273. I received my PhD in Machine Learning from University of Pittsburgh.
  274. ICDM 2011 paper accepted. paper
  275. I gave a talk at Microsoft Research on July 6th, 2011.
  276. I was at ICML 2011 from June 24th until July 2nd.
  277. I won the Computer Science Research Competition 2011. Computer Science Research Competition 2011
  278. Compunetix Best Research Award from the CS Department at University of Pittsburgh (also received in 2008)!
  279. ICML 2011 - Global paper accepted: Conditional Anomaly Detection Using Soft Harmonic Functions. paper
  280. I received the award for Runner-Up for Best Research Poster, Elevator Pitch and Scavenger Hunt Award on CS Day, March 24th, 2011. Runner-Up for Best Research Poster, Elevator Pitch
  281. Paper accepted to the Grad Expo Conference, February 7th, 2011. Paper
  282. I passed my proposal defense on December 20th, 2010 at University of Pittsburgh.
  283. AMIA 2010 paper accepted. paper
  284. highlight: Homer Warner Best Paper Award at AMIA 2010.
  285. I was an intern at Intel Research, Santa Clara, CA (Summer 2010).
  286. UAI 2010 paper accepted. paper
  287. I received Academic Entrepreneurship Certificate. Certificate
  288. highlight: Google Best Paper Award at OLCV - CVPR 2010. Award
  289. University of Pittsburgh Honors Convocation Recognition (2009)!
  290. 2008 awards: Andrew Mellon Fellowship, CS Research Competition, and CS Day Best Poster! Mellon Fellowship, research competition, poster winner, poster runner-up
  291. Started as Research Assistant on Conditional Anomaly Detection project at University of Pittsburgh (2007-2011).
  292. Released PlaSyn: Plastic Synapses simulator for spiking neural networks.
  293. Started PhD in Machine Learning at University of Pittsburgh with Miloš Hauskrecht!
  294. MSc. summa cum laude in Computer Science from Comenius University, Bratislava! thesis
  295. First publication: Evolutionary Feature Selection for Spiking Neural Network Pattern Classifiers at EPIA 2005.
  296. European Erasmus Scholarship in Lisbon, Portugal (Spring 2005).
  297. Elected Academic Senate Member at Comenius University, Bratislava (2003-2005).
  298. Slovak Academy of Sciences Fellowship (2003-2005).
  299. Started organizing correspondence math seminars (KMS, STROM, SKMS), continued until 2005.
  300. 9th place at Programming Contest Zenit (national final).
  301. First place at Slovak Mathematical Olympiad, regional final (also in 1993 and 1994).