← Authors

Shinichi Nakajima

26 papers · 2007–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (28) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🀝 Dynamic Duo (12) πŸ† Keyword Champion (4) πŸ† Grand Slam ❓ The Questioner πŸ—ƒοΈ Keyword Collector (78) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (26)

Conferences

NIPS (12) ICML (5) JMLR (3) AAAI (2) AISTATS (2) ACML (1) ICLR (1)

Top co-authors

Masashi Sugiyama (12) Klaus-Robert MΓΌller (5) S. Derin Babacan (4) Ryota Tomioka (4) Stefan KΓΌhn (3) Kim Andrea Nicoli (3) Karl Jansen (3) S. D. Babacan (3) GrΓ©goire Montavon (2) Ichiro Takeuchi (2)

Keywords

variational inference (10) variational bayesian (7) matrix factorization (6) bayesian inference (4) bayesian learning (4) neural network (3) posterior distribution (3) graph neural network (2) empirical baye (2) layer-wise relevance propagation (2) variational bayesian matrix factorization (2) dimensionality recovery (2) kernel methods (2) bayesian estimation (2) subspace clustering (2) probabilistic pca (2) low-rank approximation (2) generative model (2) global analytic solution (2) dimensionality selection (2)

Papers

Multilevel Generative Samplers for Investigating Critical Phenomena ICLR 2025
Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024
Generative Fractional Diffusion Models NIPS 2024
Federated Learning over Connected Modes NIPS 2024
Relevant Walk Search for Explaining Graph Neural Networks ICML 2023
Labeling Neural Representations with Inverse Recognition NIPS 2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits NIPS 2023
NoiseGrad β€” Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing ICML 2022
Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs AISTATS 2019
Minimizing Trust Leaks for Robust Sybil Detection ICML 2017
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015
Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
Parametric Task Learning NIPS 2013
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Probabilistic Low-Rank Subspace Clustering NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007