← Authors

Kohei Hayashi

19 papers · 2011–2024 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (14) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ—ƒοΈ Keyword Collector (85) ⚑ Prolific Year (5) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (6) ❓ The Questioner (2)

Conferences

NIPS (7) IJCAI (4) ICML (3) AISTATS (2) ACML (1) COLING (1) ICLR (1)

Top co-authors

Masaaki Imaizumi (4) Yuichi Yoshida (3) Shin-ichi Maeda (3) Ryohei Fujimaki (2) Ken-Ichi Kawarabayashi (2) Danushka Bollegala (2) Yuto Yamaguchi (2) Takeru Miyato (1) Ryota Tomioka (1) Yoshinobu Kawahara (1)

Keywords

tensor decomposition (7) bayesian model selection (3) model selection (3) factorized information criterion (3) convex optimization (2) low-rank approximation (2) tucker decomposition (2) tensor completion (2) word embedding (2) bayesian inference (2) variational inference (2) latent variable model (2) constant time algorithm (2) neural architecture search (1) feature selection (1) policy optimization (1) label propagation (1) statistical learning theory (1) representation learning (1) asymptotic analysis (1)

Papers

Neural Fourier Transform: A General Approach to Equivariant Representation Learning ICLR 2024
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks NIPS 2019
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words IJCAI 2018
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach AISTATS 2018
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection COLING 2018
Tensor Decomposition with Smoothness ICML 2017
Fitting Low-Rank Tensors in Constant Time NIPS 2017
When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Tensor Decomposition with Missing Indices IJCAI 2017
Minimizing Quadratic Functions in Constant Time NIPS 2016
Doubly Decomposing Nonparametric Tensor Regression ICML 2016
Identifying Key Observers to Find Popular Information in Advance IJCAI 2016
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Statistical Performance of Convex Tensor Decomposition NIPS 2011