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Ryota Tomioka · Programming the Graphcore IPU · SlidesLive
slideslive.com
› programming-the-graphcore-ipu
WITMSE September Helsinki, Finland
www.cs.helsinki.fi
Ryota Tomioka: Quantized Stochastic Gradient Descent: Communication versus Convergence; Kazuho Watanabe: Rate-distortion theoretic ...
Network Profiles
LinkedIn: Ryota Tomioka | LinkedIn
Ryota Tomioka. Researcher at Microsoft Research Cambridge . Ort Cambridge, Storbritannien Bransch Forskning. Nuvarande: Microsoft Research Cambridge; Tidigare:
Business Profiles
Researchgate: Ryota Tomioka
Bunkyō-ku, Tōkyō, Japan
Private Homepages
Ryota Tomioka @ MSR Cambridge
tomioka.dk
Ryota Tomioka, PhD. Researcher; Microsoft Research Cambridge; ryoto a.png microsoft.com; TEL: + ; Curriculum Vitae [Google Scholar].
YouTube
www.youtube.com
Auf YouTube findest du großartige Videos und erstklassige Musik. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder mit der ganzen Welt teilen.
Teaching - Ryota Tomioka @ TTI-C
tomioka.dk
PCA, K-means, and pLSA (数理情報工学演習第二A) Hand out and assignments. Assignments are due Wednesday, July 17. Principal Component Analysis
Employees
Tokyo Chaos - US Open
usopen.usaultimate.org
25 Karli Raimondo. 27 Andrea Mularoni. 47 Ryota Tomioka. 55 Hideaki Mogi. 67 Makoto Munakata. 85 Casey Degnan. 86 Byron Norris. 99 Seiya Ito. Sponsors ... › team › tokyo-chaos
Education
COLT accepted papers and some cool videos | I’m a bandit
blogs.princeton.edu
May 03, · – Behnam Neyshabur, Ryota Tomioka and Nathan Srebro. Norm-Based Capacity Control in Neural Networks – Christos Papadimitriou and Santosh Vempala.
AI Statistics 2012
www.cs.utexas.edu
10: :25, A Bayesian Analysis of the Radioactive Releases of Fukushima Ryota Tomioka and Morten Mørup. 10: :50, Using More Data to Speed-up ...
Projects
ICML workshop on unsupervised and transfer learning
clopinet.com
Ryota Tomioka, Hisashi Kashima University of Tokyo, Japan Multi-task learning aims at transferring knowledge between similar tasks. The multi-task Gaussian ...
Books & Literature
Advances in Knowledge Discovery and Data Mining: 15th ...
books.google.com
185 Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, and Hiroki Iwai Compression for Anti-Adversarial Learning Yan Zhou ...
Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, ...
books.google.com
Here, we present a Optimizing Spectral Filters for Single Trial EEG Classification Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyuki Aihara, Klaus-Robert ...
Regularization, Optimization, Kernels, and Support Vector ...
books.google.com
Low-Rank Tensor Denoising and Recovery via Convex Optimization Ryota Tomioka 312 Regularization, Optimization, Kernels, and Support Vector Machines.
Optimization for Machine Learning - Page Google Books Result
books.google.com
Suvrit Sra, Sebastian Nowozin, Stephen J. Wright. 9 Augmented Lagrangian Methods for Learning, Selecting, and Combining Features Ryota Tomioka ...
Related Documents
An Information-theoretic Approach to Distribution Shifts - arXiv
arxiv.org
by M Federici · · Cited by 2 — Authors:Marco Federici, Ryota Tomioka, Patrick Forré · Download PDF. Abstract: Safely deploying machine learning models to the real world is ... › cs
Convex Tensor Decomposition via Structured Schatten Norm ...
proceedings.neurips.cc
by R Tomioka · · Cited by 144 — Authors. Ryota Tomioka, Taiji Suzuki. Abstract. We propose a new class of structured Schatten norms for tensors that includes two recently proposed norms ... › paper › hash
Dan Alistarh (IST Austria) Demjan Grubic (Google) Jerry Li ...
jerryzli.github.io
by SSGD SGD — Ryota Tomioka (MSR Cambridge) Milan Vojnovic (LSE) http://aka.ms/FastRemoteMemoryhttp. Scaling Stochastic Gradient Descent (SGD). Motivation. › posters › qsgd-Poster
[ v2] Estimation of low-rank tensors via convex optimization
arxiv.org
Ryota Tomioka, Kohei Hayashi, Hisashi Kashima. In this paper, we propose three approaches for the estimation of the Tucker decomposition of ...
Scientific Publications
Localization of class-related mu-rhythm desynchronization in ...
pubmed.ncbi.nlm.nih.gov
by S Haufe · · Cited by 9 — Authors. Stefan Haufe , Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Muller ... › ...
Publications
Optimizing Spectral Filters for Single Trial EEG Classification |...
link.springer.com
Optimizing Spectral Filters for Single Trial EEG Classification. Ryota Tomioka, Guido Dornhege, Guido Nolte, ... Ryota Tomioka (20) (21) Guido Dornhege (21)
SpicyMKL: a fast algorithm for Multiple Kernel Learning with...
link.springer.com
(1); Ryota Tomioka · .u-tokyo.ac.jp (1). Author Affiliations. 1. Department of Mathematical Informatics, The University of Tokyo, ...
Reports & Statements
Re: [HCP-Users] Timings of the task fMRI data
www.mail-archive.com
pcg.wustl.edu > > On Sep 2, 2014, at 7:32 AM, Ryota Tomioka &> wrote: > >> Hi all, >> >> I have been looking into the task fMRI ...
OpenViBE forum • View topic - Spectrally weighted CSP OV algorithm...
openvibe.inria.fr
The OpenViBE community forums
[HCP-Users] Timings of the task fMRI data
www.mail-archive.com
Ryota Tomioka Tue, 02 Sep :34: Hi all, I have been looking into the task fMRI data and ... in the reference manual. Thanks, Ryota Tomioka ...
Miscellaneous
Ryota Tomioka | LinkedIn
www.linkedin.com
View Ryota Tomioka's professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Ryota Tomioka discover ...
Taiji Suzuki Ryota Tomioka The University of Tokyo - Vdocs.pub
vdocs.pub
› slide › taiji-suzuki-ryota-tomioka-th...
TOMIOKA Ryota ( ) - KAKEN — Researchers
nrid.nii.ac.jp
[Journal Article] Ryota Tomioka, and Taiji Suzuki: Convex Tensor Decomposition via Structured Schatten Norm Regularization › nrid
Low-Rank Tensor Denoising and Recovery via Convex ...
www.taylorfrancis.com
by R Tomioka · — ByRyota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima. BookRegularization, Optimization, Kernels, and Support Vector Machines. › chapters › edit › low-ra...
Behnam Neyshabur
www.neyshabur.net
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro. International Conference on Learning Representations (ICLR), [arXiv: ].
ICML 2019
icml.cc
Chen Liu · Ryota Tomioka · Volkan Cevher. Tue Jun :25 AM :30 AM (PDT) @ Grand Ballroom. in Adversarial Examples ». › Conferences › ScheduleMultitrack
Neural Networks Seminar - Sam D. Buchanan
sdbuchanan.com
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, and Nathan Srebro, Geometry of Optimization and Implicit Regularization in Deep Learning. › nn_seminar
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