Hiroaki Sasaki
14 papers · 2012–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Academic Marathon (10)
π
Cross-Pollinator
(12)
π§
Keyword Pioneer
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(64)
π
Century Club
(14)
π₯
Unstoppable
(7)
Conferences
AISTATS (7)
ACML (3)
JMLR (2)
UAI (2)
Top co-authors
Keywords
contrastive learning
(3)
independent component analysis
(3)
log-density gradient
(2)
conditional density
(2)
non-gaussian component analysis
(2)
robust estimation
(2)
nonlinear independent component analysis
(2)
density ridge
(2)
derivative estimation
(2)
robust statistics
(1)
mode estimation
(1)
kl divergence
(1)
change detection
(1)
statistical convergence
(1)
causal discovery
(1)
feature selection
(1)
variational inference
(1)
statistical independence
(1)
mutual information
(1)
dimension reduction
(1)
Papers
Mode estimation on matrix manifolds: Convergence and robustness
AISTATS 2022
Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation
JMLR 2022
Robust contrastive learning and nonlinear ICA in the presence of outliers
UAI 2020
Robust modal regression with direct gradient approximation of modal regression risk
UAI 2020
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
AISTATS 2019
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
JMLR 2018
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
AISTATS 2017
Whitening-Free Least-Squares Non-Gaussian Component Analysis
ACML 2017
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
AISTATS 2017
Non-Gaussian Component Analysis with Log-Density Gradient Estimation
AISTATS 2016
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
AISTATS 2015
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
ACML 2015
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations
AISTATS 2014
Topographic Analysis of Correlated Components
ACML 2012