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Ryota Tomioka

25 papers · 2006–2024 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ ๐Ÿงญ Keyword Pioneer ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒˆ Renaissance Researcher (5) ๐Ÿ—บ๏ธ Taxonomy Completionist (17) ๐Ÿฃ Hot Topic Early Bird
๐ŸŒˆ Renaissance Researcher (5) ๐Ÿงญ Keyword Pioneer ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒŸ Keyword Trendsetter Combo (7) ๐Ÿ† Keyword Champion ๐Ÿ—ƒ๏ธ Keyword Collector (50) ๐Ÿ“ˆ Trend Setter ๐Ÿš€ Conference Pioneer ๐Ÿ’Ž Century Club (25) ๐Ÿ”ฅ Unstoppable (8)

Conferences

NIPS (14) JMLR (4) AISTATS (2) ICLR (2) ICML (2) COLT (1)

Top co-authors

Masashi Sugiyama (6) Shinichi Nakajima (4) Taiji Suzuki (3) Chen Liu (2) Patrick Forrรฉ (2) Klaus-Robert Mรผller (2) Marco Federici (2) S. Derin Babacan (2) Sebastian Nowozin (2) Kamil Ciosek (2)

Keywords

variational bayesian (4) matrix factorization (3) neural network (3) convex optimization (3) tensor decomposition (3) dimensionality recovery (2) tensor factorization (2) low-rank tensor (2) variational inference (2) common spatial patterns (2) matrix completion (2) bayesian estimation (2) low-rank matrix (2) global analytic solution (2) adversarial training (2) logistic regression (2) brain-computer interface (2) low-rank approximation (2) signal classification (2) probabilistic pca (2)

Papers

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ICLR 2024 Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics NIPS 2023 An Information-theoretic Approach to Distribution Shifts NIPS 2021 Regularized Policies are Reward Robust AISTATS 2021 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them NIPS 2020 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Continuous Hierarchical Representations with Poincarรฉ Variational Auto-Encoders NIPS 2019 On Certifying Non-Uniform Bounds against Adversarial Attacks ICML 2019 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding NIPS 2017 f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016 Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NIPS 2015 Norm-Based Capacity Control in Neural Networks COLT 2015 The Algebraic Combinatorial Approach for Low-Rank Matrix Completion JMLR 2015 Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014 Convex Tensor Decomposition via Structured Schatten Norm Regularization NIPS 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Statistical Performance of Convex Tensor Decomposition NIPS 2011 Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NIPS 2007 Logistic Regression for Single Trial EEG Classification NIPS 2006