Ryota Tomioka

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Milan VojnovicProfessor, Department of Statistics, LSEVerified email at lse.ac.uk
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Dan AlistarhIST AustriaVerified email at ist.ac.at
Jerry LiMicrosoft ResearchVerified email at microsoft.com
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Behnam NeyshaburSenior Staff Research Scientist, DeepMindVerified email at google.com
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Kenji YamanishiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Botond CsekeVolkswagen MLRLVerified email at volkswagen.de
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Demjan GrubicGoogleVerified email at google.com
Stefan HaufeTechnische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - UniversitätsmedizinVerified email at tu-berlin.de
Shinichi NakajimaBIFOLD, Technische Universität BerlinVerified email at tu-berlin.de
S. Derin BabacanAmazonVerified email at amazon.com

Ryota Tomioka

Microsoft Research AI for Science

Verified email at microsoft.com - Homepage

Machine Learning Convex Optimization Neural Networks


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Optimizing spatial filters for robust EEG single-trial analysis B Blankertz, R Tomioka, S Lemm, M Kawanabe, KR Muller IEEE Signal processing magazine 25 (1), 41-56, 2007	2358	2007
QSGD: Communication-efficient SGD via gradient quantization and encoding D Alistarh, D Grubic, J Li, R Tomioka, M Vojnovic Advances in neural information processing systems 30, 2017	1953	2017
f-gan: Training generative neural samplers using variational divergence minimization S Nowozin, B Cseke, R Tomioka Advances in Neural Information Processing Systems, 271-279, 2016	1943	2016
In search of the real inductive bias: On the role of implicit regularization in deep learning B Neyshabur, R Tomioka, N Srebro arXiv preprint arXiv:1412.6614, 2014	718	2014
Norm-based capacity control in neural networks B Neyshabur, R Tomioka, N Srebro Conference on learning theory, 1376-1401, 2015	646	2015
Multi-level variational autoencoder: Learning disentangled representations from grouped observations D Bouchacourt, R Tomioka, S Nowozin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	334	2018
Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing B Blankertz, M Kawanabe, R Tomioka, F Hohlefeld, K Müller, V Nikulin Advances in neural information processing systems 20, 2007	326	2007
Estimation of low-rank tensors via convex optimization R Tomioka, K Hayashi, H Kashima arXiv preprint arXiv:1010.0789, 2010	232	2010
Tensor factorization using auxiliary information A Narita, K Hayashi, R Tomioka, H Kashima Data Mining and Knowledge Discovery 25, 298-324, 2012	203	2012
A regularized discriminative framework for EEG analysis with application to brain–computer interface R Tomioka, KR Müller NeuroImage 49 (1), 415-432, 2010	195	2010
Continuous hierarchical representations with poincaré variational auto-encoders E Mathieu, C Le Lan, CJ Maddison, R Tomioka, YW Teh Advances in neural information processing systems 32, 2019	194	2019
Statistical performance of convex tensor decomposition R Tomioka, T Suzuki, K Hayashi, H Kashima Advances in neural information processing systems 24, 2011	189	2011
Convex tensor decomposition via structured schatten norm regularization R Tomioka, T Suzuki Advances in neural information processing systems 26, 2013	167	2013
Geometry of optimization and implicit regularization in deep learning B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro arXiv preprint arXiv:1705.03071, 2017	160	2017
Discovering emerging topics in social streams via link-anomaly detection T Takahashi, R Tomioka, K Yamanishi IEEE Transactions on Knowledge and Data Engineering 26 (1), 120-130, 2012	140	2012
Logistic regression for single trial EEG classification R Tomioka, K Aihara, KR Müller Advances in neural information processing systems 19, 2006	133	2006
Large-scale EEG/MEG source localization with spatial flexibility S Haufe, R Tomioka, T Dickhaus, C Sannelli, B Blankertz, G Nolte, ... NeuroImage 54 (2), 851-859, 2011	128	2011
Global analytic solution of fully-observed variational Bayesian matrix factorization S Nakajima, M Sugiyama, SD Babacan, R Tomioka The Journal of Machine Learning Research 14 (1), 1-37, 2013	125	2013
Modeling sparse connectivity between underlying brain sources for EEG/MEG S Haufe, R Tomioka, G Nolte, KR Müller, M Kawanabe IEEE transactions on biomedical engineering 57 (8), 1954-1963, 2010	123	2010
The algebraic combinatorial approach for low-rank matrix completion. FJ Király, L Theran, R Tomioka J. Mach. Learn. Res. 16 (1), 1391-1436, 2015	120	2015

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