Logo of Inria

Michal Valko Email Address

abcdefghij@inria.fr

Need many emails like this?Find your leads with our LinkedIn Email Finder.If you already have names, use our Email Finder by Name (available in Bulk or via API too).
Job Title

Staff Research Scientist

Company
Inria

Inria, the French National Institute for computer science and applied mathematics, promotes “scientific excellence for technology transfer..

Bio

Michal is a machine learning scientist in SequeL team at Inria Lille - Nord Europe, France, lead by Philippe Preux and Rémi Munos. He also teaches the master course Graphs in Machine Learning at l'ENS Paris-Saclay. Michal is primarily interested in designing algorithms that would require as little human supervision as possible. This means 1) reducing the “intelligence” that humans need to input into the system and 2) minimizing the data that humans need to spend inspecting, classifying, or “tuning” the algorithms. Another important feature of machine learning algorithms should be the ability to adapt to changing environments. That is why he is working in domains that are able to deal with minimal feedback, such as online learning, bandit algorithms, semi-supervised learning, and anomaly detection. Most recently he has worked on sequential algorithms with structured decisions where exploiting the structure leads to provably faster learning. Structured learning requires more time and space resources and therefore the most recent work of Michal includes efficient approximations such as graph and matrix sketching with learning guarantees. In past, the common thread of Michal's work has been adaptive graph-based learning and its application to real-world applications such as recommender systems, medical error detection, and face recognition. His industrial collaborators include Adobe, Intel, Technicolor, and Microsoft Research. He received his Ph.D. in 2011 from the University of Pittsburgh under the supervision of Miloš Hauskrecht and after was a postdoc of Rémi Munos before taking a permanent position at Inria in 2012. Research interests: machine learning, minimal feedback, online/sequential learning, graph-based methods, semi-supervised learning

Last University
Graduated from École Normale Supérieure de Cachan
Location
Lives in Lille, France.

Other people working at Inria:

Laurence GoussuResponsable Du Service Conseil Et Relations Aux Publics
Bruno RaffinResearch Director
Sam***@inria.fr
Laurent StencelDirecteur De La Communication
Gael VaroquauxResearcher at INRIA
Robin**********@inria.fr
Justine CassellInaugural International Chair
Anna BobashevaSenior Research Engineer
Eric JaouenJuriste Partenariats Et Propriété Intellectuelle
Thomas WatteyneVisiting Student Researcher
Christophe Zhang**********@inria.fr
Julia LawallSenior Scientist
Kaitlyn Bove**********@inria.fr
Marjorie**********@inria.fr

How does this work?

Anymail finder is trusted by tens of thousands of companies to provide accurate contact information to their Sales and Business Development teams.

If you're looking to find the email of Michal Valko at Inria then you've come to the right place.

Wondering if it's michal@inria.fr, michal.valko@inria.fr, valko@inria.fr, or mvalko@inria.fr? We have the answers for you.

Looking for somebody else’s email?

Find other Emails now