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01/06/2022
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification
The problem of linear predictions has been extensively studied for the p...
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10/27/2021
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Recent advances in center-based clustering continue to improve upon the ...
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05/01/2021
t-Entropy: A New Measure of Uncertainty with Some Applications
The concept of Entropy plays a key role in Information Theory, Statistic...
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02/05/2021
Robust Principal Component Analysis: A Median of Means Approach
Principal Component Analysis (PCA) is a fundamental tool for data visual...
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12/20/2020
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
Mean shift is a simple interactive procedure that gradually shifts data ...
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11/12/2020
Kernel k-Means, By All Means: Algorithms and Strong Consistency
Kernel k-means clustering is a powerful tool for unsupervised learning o...
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08/17/2020
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction clustering
Even with the rise in popularity of over-parameterized models, simple di...
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01/10/2020