Takeru Matsuda
7 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Core Methods
(3)
Mathematics
(3)
Learning Types
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
noise contrastive estimation
(3)
unnormalized model
(2)
representation learning
(2)
goodness-of-fit test
(2)
kernel methods
(2)
score matching
(2)
non-normalized model
(2)
stein discrepancy
(2)
statistical testing
(1)
asymptotic variance
(1)
nonparametric testing
(1)
riemannian manifold
(1)
mixture model
(1)
confidence interval
(1)
statistical efficiency
(1)
word embedding
(1)
missing data
(1)
clustering method
(1)
information criterion
(1)
cross-lingual consistency
(1)
Papers
Exploring Intra and Inter-language Consistency in Embeddings with ICA
EMNLP 2024
Information criteria for non-normalized models
JMLR 2021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
ICML 2021
A Stein Goodness-of-fit Test for Directional Distributions
AISTATS 2020
A Unified Statistically Efficient Estimation Framework for Unnormalized Models
AISTATS 2020
Imputation estimators for unnormalized models with missing data
AISTATS 2020
Estimation of Non-Normalized Mixture Models
AISTATS 2019