← Authors

Ryota Tomioka

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

Achievements

🌍 Conference Polyglot (6) πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (17) 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (50) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (25) πŸ”₯ 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 ForrΓ© (2) Klaus-Robert MΓΌller (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 PoincarΓ© 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