Hiroaki Sasaki
15 papers · 2012–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
🏆
Keyword Champion
(2)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(70)
Venues
Top co-authors
Research topics
Keywords
independent component analysis
(3)
contrastive learning
(3)
robust estimation
(3)
log-density gradient
(2)
conditional density
(2)
nonlinear independent component analysis
(2)
non-gaussian component analysis
(2)
density ridge
(2)
derivative estimation
(2)
mode estimation
(1)
kl divergence
(1)
causal discovery
(1)
variational inference
(1)
robust statistics
(1)
feature selection
(1)
visual cortex
(1)
manifold learning
(1)
dimension reduction
(1)
statistical independence
(1)
gradient estimation
(1)
Papers
Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise
UAI 2026
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
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
AISTATS 2017
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
AISTATS 2017
Whitening-Free Least-Squares Non-Gaussian Component Analysis
ACML 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