Kohei Hayashi
19 papers · 2011–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (7)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
ποΈ
Keyword Collector
(85)
β‘
Prolific Year
(5)
π
Century Club
(19)
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
NIPS (7)
IJCAI (4)
ICML (3)
AISTATS (2)
ACML (1)
COLING (1)
ICLR (1)
Top co-authors
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