← Authors

Hiroaki Sasaki

14 papers · 2012–2022 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (64) πŸ’Ž Century Club (14) πŸ”₯ Unstoppable (7)

Conferences

AISTATS (7) ACML (3) JMLR (2) UAI (2)

Top co-authors

Masashi Sugiyama (7) Aapo HyvΓ€rinen (5) Takafumi Kanamori (4) Gang Niu (3) Takashi Takenouchi (2) Hayaru Shouno (2) Tomoya Sakai (2) Michael Gutmann (1) Yung-kyun Noh (1) Michael U. Gutmann (1)

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