Tomioka, Ryota

34 publications

ICLR 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

NeurIPS 2023 Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noe, Ryota Tomioka

AISTATS 2021 Regularized Policies Are Reward Robust Hisham Husain, Kamil Ciosek, Ryota Tomioka

NeurIPS 2021 An Information-Theoretic Approach to Distribution Shifts Marco Federici, Ryota Tomioka, Patrick Forré

ICLR 2020 Conservative Uncertainty Estimation by Fitting Prior Networks Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner

NeurIPS 2020 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

NeurIPS 2019 Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

ICML 2019 On Certifying Non-Uniform Bounds Against Adversarial Attacks Chen Liu, Ryota Tomioka, Volkan Cevher

AAAI 2018 Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin

ICLR 2017 Batch Policy Gradient Methods for Improving Neural Conversation Models Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter

NeurIPS 2017 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic

ICLR 2016 Data-Dependent Path Normalization in Neural Networks Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro

NeurIPS 2016 F-GAN: Training Generative Neural Samplers Using Variational Divergence Minimization Sebastian Nowozin, Botond Cseke, Ryota Tomioka

JMLR 2015 Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan

ICLR 2015 In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning Behnam Neyshabur, Ryota Tomioka, Nathan Srebro

NeurIPS 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm Qinqing Zheng, Ryota Tomioka

COLT 2015 Norm-Based Capacity Control in Neural Networks Behnam Neyshabur, Ryota Tomioka, Nathan Srebro

JMLR 2015 The Algebraic Combinatorial Approach for Low-Rank Matrix Completion Franz J.Király, Louis Theran, Ryota Tomioka

NeurIPS 2014 Multitask Learning Meets Tensor Factorization: Task Imputation via Convex Optimization Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka

NeurIPS 2013 Convex Tensor Decomposition via Structured Schatten Norm Regularization Ryota Tomioka, Taiji Suzuki

JMLR 2013 Global Analytic Solution of Fully-Observed Variational Bayesian Matrix Factorization Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, Ryota Tomioka

ICML 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto

AISTATS 2012 A Bayesian Analysis of the Radioactive Releases of Fukushima Ryota Tomioka, Morten Mrup

ICML 2012 A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion Franz J. Király, Ryota Tomioka

NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. D. Babacan

MLJ 2011 SpicyMKL: A Fast Algorithm for Multiple Kernel Learning with Thousands of Kernels Taiji Suzuki, Ryota Tomioka

NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima

JMLR 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama

ECML-PKDD 2011 Tensor Factorization Using Auxiliary Information Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima

ICML 2010 A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima

NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka

ICML 2007 Classifying Matrices with a Spectral Regularization Ryota Tomioka, Kazuyuki Aihara

NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-Robert Müller, Vadim V. Nikulin

NeurIPS 2006 Logistic Regression for Single Trial EEG Classification Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller