Ryota Tomioka

Ryota Tomioka, Kenji Yamanishi, Shota Saito, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Logistic Regression for Single Trial EEG Classification

Kazuyuki Aihara, Klaus-Robert Müller, Ryota Tomioka, 2006, NIPS.

Statistical Performance of Convex Tensor Decomposition

Hisashi Kashima, Taiji Suzuki, Ryota Tomioka, 2011, NIPS.

Sparse learning with duality gap guarantee

Ryota Tomioka, Masashi Sugiyama, 2008 .

Jointly Learning Multiple Measures of Similarities from Triplet Comparisons

Subhransu Maji, Ryota Tomioka, Liwen Zhang, 2015 .

Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization

Ryota Tomioka, Masashi Sugiyama, Taiji Suzuki, 2011, 1103.0431.

A Combinatorial Algebraic Approach for the Identiability of

Ryota Tomioka, 2012 .

Discovering Emerging Topics in Social Streams via Link-Anomaly Detection

Ryota Tomioka, K. Yamanishi, Toshimitsu Takahashi, 2011, IEEE Transactions on Knowledge and Data Engineering.

Large-ScaleEEG/MEGSourceLocalizationwithSpatialFlexibility

Ryota Tomioka, T. Dickhaus, G. Nolte, 2010 .

Condition for Perfect Dimensionality Recovery by

S. D. Babacan, Ryota Tomioka, Masashi Sugiyama, 2015 .

Transoral Endoscopic Examination of the Oropharynx With Tongue Protrusion, Phonation, and Open Mouth.

Ryota Tomioka, K. Tsukahara, Hiroki Sato, 2021, Cancer diagnosis & prognosis.

QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks

M. Vojnovic, Dan Alistarh, Demjan Grubic, 2016, 1610.02132.

Learning to Reason Mathematically

A. Fitzgibbon, Ryota Tomioka, S. Jones, 2019 .

Sharp Convergence Rate and Support Consistency of Multiple Kernel Learning with Sparse and Dense Regularization

Ryota Tomioka, Masashi Sugiyama, Taiji Suzuki, 2011, 1103.5201.

Augmented Lagrangian Methods for Learning, Selecting, and Combining Features

Masashi Sugiyama, Taiji Suzuki, Ryota Tomioka, 2011 .

QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks

M. Vojnovic, Dan Alistarh, Demjan Grubic, 2016, 1610.02132.

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

Charline Le Lan, Chris J. Maddison, Y. Teh, 2019, NeurIPS.

Tensor factorization using auxiliary information

Ryota Tomioka, H. Kashima, K. Hayashi, 2011, Data mining and knowledge discovery.

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

K.-R. Muller, B. Blankertz, M. Kawanabe, 2008, IEEE Signal Processing Magazine.

A regularized discriminative framework for EEG analysis with application to brain–computer interface

Klaus-Robert Müller, Ryota Tomioka, K. Müller, 2010, NeuroImage.

SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels

Taiji Suzuki, Ryota Tomioka, Ryota Tomioka, 2011, Machine Learning.

Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation

Masashi Sugiyama, Taiji Suzuki, Ryota Tomioka, 2009, J. Mach. Learn. Res..

Conservative Uncertainty Estimation By Fitting Prior Networks

Richard E. Turner, Ryota Tomioka, Katja Hofmann, 2020, ICLR.

Hierarchical Representations with Poincaré Variational Auto-Encoders pdf

Yee Whye Teh, Ryota Tomioka, Emile Mathieu, 2019, ArXiv.

Norm-Based Capacity Control in Neural Networks

Ryota Tomioka, Nathan Srebro, Behnam Neyshabur, 2015, COLT.

Multivariate analysis of noise in genetic regulatory networks.

Kazuyuki Aihara, Ryota Tomioka, Ryota Tomioka, 2004, Journal of theoretical biology.

Convex Tensor Decomposition via Structured Schatten Norm Regularization

Taiji Suzuki, Ryota Tomioka, Ryota Tomioka, 2013, NIPS.

The actual state of and factors for speech perception ability in adult cochlear implant wearers.

Ryota Tomioka, K. Shirai, A. Kawano, 2022, American journal of otolaryngology.

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them

Sabine E. Susstrunk, Ryota Tomioka, Tao Lin, 2020, NeurIPS.

On Certifying Non-uniform Bound against Adversarial Attacks pdf

Volkan Cevher, Ryota Tomioka, Chen Liu, 2019, ICML.

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices

Masashi Sugiyama, Hisashi Kashima, Taiji Suzuki, 2010, ICML.

Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction

Masataka Goto, Kazuyoshi Yoshii, Ryota Tomioka, 2013, ISMIR.

Perfect Dimensionality Recovery by Variational Bayesian PCA

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2012, NIPS.

Multitask learning meets tensor factorization: task imputation via convex optimization

Masashi Sugiyama, Ryota Tomioka, Kishan Wimalawarne, 2014, NIPS.

Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm

Ryota Tomioka, Qinqing Zheng, Ryota Tomioka, 2015, NIPS.

Large-scale EEG/MEG source localization with spatial flexibility

Stefan Haufe, Klaus-Robert Müller, Benjamin Blankertz, 2011, NeuroImage.

Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions

Stefan Haufe, Benjamin Blankertz, Guido Nolte, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Adapting Spatial Filter Methods for Nonstationary BCIs

Kazuyuki Aihara, Benjamin Blankertz, Ryota Tomioka, 2006 .

MATHEMATICAL ENGINEERING TECHNICAL REPORTS Spectrally weighted Common Spatial Pattern algorithm for single trial EEG classification

Benjamin Blankertz, Guido Nolte, Ryota Tomioka, 2006 .

Theoretical and Experimental Analyses of Tensor-Based Regression and Classification

Masashi Sugiyama, Ryota Tomioka, Kishan Wimalawarne, 2015, Neural Computation.

Global analytic solution of fully-observed variational Bayesian matrix factorization

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2013, J. Mach. Learn. Res..

An Iterative Algorithm for Spatio-Temporal Filter Optimization

K. Aihara, G. Dornhege, R. Tomioka, 2006 .

Effect of Hydrogen on the Orientation of Cinchonidine Adsorbed on Platinum: An ATR-SEIRAS Study

Ryota Tomioka, T. Uchida, M. Osawa, 2015 .

Tensor factorization using auxiliary information

Hisashi Kashima, Ryota Tomioka, Kohei Hayashi, 2011, Data Mining and Knowledge Discovery.

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion

Franz J. Király, Ryota Tomioka, Ryota Tomioka, 2012, ICML.

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG

Motoaki Kawanabe, Stefan Haufe, Klaus-Robert Müller, 2009, IEEE Transactions on Biomedical Engineering.

DoStoVoQ: Doubly Stochastic Voronoi Vector Quantization SGD for Federated Learning

Ryota Tomioka, M. Vojnović, 2021 .

Regularized Policies are Reward Robust pdf

Ryota Tomioka, Hisham Husain, Kamil Ciosek, 2021, AISTATS.

Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction

Masashi Sugiyama, Ryota Tomioka, Ryota Tomioka, 2009, IEEE Signal Processing Letters.

A New Multi-task Learning Method for Personalized Activity Recognition

Xu Sun, Hisashi Kashima, Naonori Ueda, 2011, 2011 IEEE 11th International Conference on Data Mining.

Self-measuring Similarity for Multi-task Gaussian Process

Hisashi Kashima, Ryota Tomioka, Kohei Hayashi, 2011, ICML Unsupervised and Transfer Learning.

Data-Dependent Path Normalization in Neural Networks pdf

Ruslan Salakhutdinov, Ryota Tomioka, Nathan Srebro, 2015, ICLR.

Global Analytic Solution for Variational Bayesian Matrix Factorization

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2010, NIPS.

Condition for perfect dimensionality recovery by variational Bayesian PCA

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2015, J. Mach. Learn. Res..

Combined classification and channel / basis selection with L 1L 2 regularization with application to P 300 speller system

S. Haufe, R. Tomioka, Ryota Tomioka, 2008 .

DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution pdf

Ryota Tomioka, Keshav Santhanam, Matei Zaharia, 2021, ArXiv.

DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks

A. Fitzgibbon, Ryota Tomioka, Keshav Santhanam, 2021, EuroMLSys@EuroSys.

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks pdf

Ryota Tomioka, Alexander L. Gaunt, Maik Riechert, 2017, ArXiv.

QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks

Dan Alistarh, Demjan Grubic, Jerry Li, 2016, 1610.02132.

Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding

Ryota Tomioka, Kenji Yamanishi, Hiroki Iwai, 2011, PAKDD.

Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learning

Masashi Sugiyama, Taiji Suzuki, Ryota Tomioka, 2009 .

Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering pdf

Ryota Tomioka, John M. Winn, Liwen Zhang, 2016, ArXiv.

Non-negative Multiple Tensor Factorization

Koh Takeuchi, Hiroshi Sawada, Ryota Tomioka, 2013, 2013 IEEE 13th International Conference on Data Mining.

MATHEMATICAL ENGINEERING TECHNICAL REPORTS Spectrally weighted Common Spatial Pattern algorithm for single trial EEG classification

Ryota Tomioka, K. Aihara, G. Nolte, 2006 .

Batch Policy Gradient Methods for Improving Neural Conversation Models pdf

Kirthevasan Kandasamy, David Carter, Ryota Tomioka, 2017, ICLR.