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10/01/2021
Probabilistic Robust Autoencoders for Anomaly Detection
Empirical observations often consist of anomalies (or outliers) that con...
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07/13/2021
Convergence rates of vector-valued local polynomial regression
Non-parametric estimation of functions as well as their derivatives by m...
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05/11/2021
Non-Parametric Estimation of Manifolds from Noisy Data
A common observation in data-driven applications is that high dimensiona...
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02/26/2021
Spectral Top-Down Recovery of Latent Tree Models
Modeling the distribution of high dimensional data by a latent tree grap...
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07/28/2019
Approximating the Span of Principal Components via Iterative Least-Squares
In the course of the last century, Principal Component Analysis (PCA) ha...
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05/29/2019
Rank-one Multi-Reference Factor Analysis
In recent years, there is a growing need for processing methods aimed at...
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11/02/2017
Approximation of Functions over Manifolds: A Moving Least-Squares Approach
We present an algorithm for approximating a function defined over a d-di...
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07/11/2017
Similarity Search Over Graphs Using Localized Spectral Analysis
This paper provides a new similarity detection algorithm. Given an input...
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09/05/2016
A max-cut approach to heterogeneity in cryo-electron microscopy
The field of cryo-electron microscopy has made astounding advancements i...
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11/03/2015