Michal Valko

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Rémi MunosDeepMindVerified email at inria.fr
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchVerified email at inria.fr
Milos HauskrechtProfessor of Computer Science, University of PittsburghVerified email at pitt.edu
Branislav KvetonGoogle ResearchVerified email at google.com
Jean-bastien GrillVerified email at google.com
Daniele CalandrielloResearch Scientist, DeepMindVerified email at google.com
Pierre MénardOvGU MagdeburgVerified email at inria.fr
Alexandra CarpentierOvGU MagdeburgVerified email at ovgu.de
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Gregory CooperProfessor of Biomedical Informatics, University of PittsburghVerified email at pitt.edu
Corentin TallecDeepMindVerified email at google.com
Tomáš KocákENS de LyonVerified email at ens-lyon.fr
Mohammad Gheshlaghi AzarResearch Scientist at DeepMindVerified email at google.com
Omar Darwiche DominguesInriaVerified email at inria.fr
Florent AltchéResearch Engineer, DeepMindVerified email at google.com
Matteo PirottaResearch Scientist, Facebook AI ResearchVerified email at fb.com
Bilal PiotDeepMindVerified email at google.com
Florian STRUBDeepMindVerified email at google.com
Shyam VisweswaranAssociate Professor of Biomedical Informatics, University of PittsburghVerified email at pitt.edu
Rémi BardenetCNRS, CRIStAL, Ecole Centrale Lille, Univ. Lille, FranceVerified email at ec-lille.fr

Michal Valko

DeepMind, Paris & Inria France & ENS, MVA

Verified email at deepmind.com - Homepage

deep reinforcement learning bandit theory representation learning graphs Monte-Carlo tree search


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bootstrap your own latent: A new approach to self-supervised learning JB Grill, F Strub, F Altché, C Tallec, PH Richemond, E Buchatskaya, ... Neural Information Processing Systems, 2020	416	2020
Outlier detection for patient monitoring and alerting M Hauskrecht, I Batal, M Valko, S Visweswaran, GF Cooper, G Clermont Journal of Biomedical Informatics, 2013	125	2013
Finite-time analysis of kernelised contextual bandits M Valko, N Korda, R Munos, I Flaounas, N Cristianini Uncertainty in Artificial Intelligence, 2013	114	2013
Stochastic simultaneous optimistic optimization M Valko, A Carpentier, R Munos International Conference on Machine Learning, 2013	102	2013
Spectral bandits for smooth graph functions M Valko, R Munos, B Kveton, T Kocák International Conference on Machine Learning, 2014	87	2014
Efficient learning by implicit exploration in bandit problems with side observations T Kocák, G Neu, M Valko, R Munos Neural Information Processing Systems, 2014	81	2014
Online influence maximization under independent cascade model with semi-bandit feedback Z Wen, B Kveton, M Valko, S Vaswani Neural Information Processing Systems, 2017	80*	2017
Black-box optimization of noisy functions with unknown smoothness JB Grill, M Valko, R Munos Neural Information Processing Systems, 2015	70	2015
Simple regret for infinitely many armed bandits A Carpentier, M Valko International Conference on Machine Learning, 2015	59	2015
Conditional outlier detection for clinical alerting M Hauskrecht, M Valko, I Batal, G Clermont, S Visweswaran, GF Cooper AMIA annual symposium proceedings 2010, 286, 2010	56	2010
Evidence-based anomaly detection in clinical domains M Hauskrecht, M Valko, B Kveton, S Visweswaran, GF Cooper AMIA Annual Symposium Proceedings 2007, 319, 2007	47	2007
Semi-supervised learning with max-margin graph cuts B Kveton, M Valko, A Rahimi, L Huang International Conference on Artificial Intelligence and Statistics, 2010	44	2010
Online semi-supervised learning on quantized graphs M Valko, B Kveton, L Huang, D Ting Uncertainty in Artificial Intelligence, 2010	43	2010
Bayesian policy gradient and actor-critic algorithms M Ghavamzadeh, Y Engel, M Valko Journal of Machine Learning Research 17 (66), 1-53, 2016	40*	2016
Identification of microbial and proteomic biomarkers in early childhood caries TC Hart, PM Corby, M Hauskrecht, OK Hee Ryu, R Pelikan, M Valko, ... International journal of dentistry 2011, 2011	39	2011
Revealing graph bandits for maximizing local influence A Carpentier, M Valko International Conference on Artificial Intelligence and Statistics, 2016	38	2016
Feature selection and dimensionality reduction in genomics and proteomics M Hauskrecht, R Pelikan, M Valko, J Lyons-Weiler Fundamentals of data mining in genomics and proteomics, 149-172, 2007	37	2007
Extreme bandits A Carpentier, M Valko Neural Information Processing Systems, 2014	36	2014
DPPy: DPP Sampling with Python. G Gautier, G Polito, R Bardenet, M Valko J. Mach. Learn. Res. 20, 180:1-180:7, 2019	35*	2019
Feature importance analysis for patient management decisions M Valko, M Hauskrecht International Congress on Medical Informatics, 2010	35	2010

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