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04/19/2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
Representation learning has been increasing its impact on the research a...
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04/01/2023
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis
Contrastive learning is an efficient approach to self-supervised represe...
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03/06/2023
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE
We consider the scenario of deep clustering, in which the available prio...
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06/09/2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
Domain shifts in the training data are common in practical applications ...
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10/18/2019
Robust modal regression with direct log-density derivative estimation
Modal regression is aimed at estimating the global mode (i.e., global ma...
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10/09/2019
Estimating Density Models with Complex Truncation Boundaries
Truncated densities are probability density functions defined on truncat...
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01/23/2019
Unified estimation framework for unnormalized models with statistical efficiency
Parameter estimation of unnormalized models is a challenging problem bec...
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01/23/2019
Unified efficient estimation framework for unnormalized models
Parameter estimation of unnormalized models is a challenging problem bec...
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06/02/2018
Variable Selection for Nonparametric Learning with Power Series Kernels
In this paper, we propose a variable selection method for general nonpar...
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07/06/2017
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
Modes and ridges of the probability density function behind observed dat...
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05/11/2013
Affine Invariant Divergences associated with Composite Scores and its Applications
In statistical analysis, measuring a score of predictive performance is ...
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06/30/2012
Density-Difference Estimation
We address the problem of estimating the difference between two probabil...
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04/30/2012
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
In binary classification problems, mainly two approaches have been propo...
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04/18/2012
Semi-Supervised learning with Density-Ratio Estimation
In this paper, we study statistical properties of semi-supervised learni...
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06/23/2011
Relative Density-Ratio Estimation for Robust Distribution Comparison
Divergence estimators based on direct approximation of density-ratios wi...
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10/24/2010
f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models
A density ratio is defined by the ratio of two probability densities. We...
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12/15/2009