Kohei Hayashi
19 papers · 2011–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(91)
π
Trend Setter
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(14)
Core Methods
(12)
Mathematics & Optimization
(4)
Mathematics
(4)
Optimization
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Architectures
(2)
Core AI
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
tensor decomposition
(7)
bayesian model selection
(3)
model selection
(3)
factorized information criterion
(3)
variational inference
(2)
tensor completion
(2)
bayesian inference
(2)
convex optimization
(2)
constant time algorithm
(2)
word embedding
(2)
latent variable model
(2)
tucker decomposition
(2)
low-rank approximation
(2)
feature selection
(1)
label propagation
(1)
statistical learning theory
(1)
feature learning
(1)
representation learning
(1)
principal component analysis
(1)
semi-supervised learning
(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
NeurIPS 2019
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
AISTATS 2018
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
IJCAI 2018
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
COLING 2018
Fitting Low-Rank Tensors in Constant Time
NeurIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
NeurIPS 2017
Tensor Decomposition with Missing Indices
IJCAI 2017
Tensor Decomposition with Smoothness
ICML 2017
When Does Label Propagation Fail? A View from a Network Generative Model
IJCAI 2017
Doubly Decomposing Nonparametric Tensor Regression
ICML 2016
Identifying Key Observers to Find Popular Information in Advance
IJCAI 2016
Minimizing Quadratic Functions in Constant Time
NeurIPS 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
NeurIPS 2013
Weighted Likelihood Policy Search with Model Selection
NeurIPS 2012
Statistical Performance of Convex Tensor Decomposition
NeurIPS 2011