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12/29/2021
On Local Convergence of Iterative Hard Thresholding for Matrix Completion
Iterative hard thresholding (IHT) has gained in popularity over the past...
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12/22/2021
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
Many recent problems in signal processing and machine learning such as c...
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12/16/2021
A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis
In many iterative optimization methods, fixed-point theory enables the a...
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07/22/2021
Active Learning in Incomplete Label Multiple Instance Multiple Label Learning
In multiple instance multiple label learning, each sample, a bag, consis...
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02/04/2021
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
Factorization-based gradient descent is a scalable and efficient algorit...
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09/16/2020
Perturbation expansions and error bounds for the truncated singular value decomposition
Truncated singular value decomposition is a reduced version of the singu...
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02/05/2018
Weakly-supervised Dictionary Learning
We present a probabilistic modeling and inference framework for discrimi...
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03/07/2016
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data
Multi-instance data, in which each object (bag) contains a collection of...
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11/14/2014
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning
Labeling data for classification requires significant human effort. To r...
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12/19/2010
Empirical estimation of entropy functionals with confidence
This paper introduces a class of k-nearest neighbor (k-NN) estimators ca...
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09/29/2008
An Information Geometric Framework for Dimensionality Reduction
This report concerns the problem of dimensionality reduction through inf...
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04/17/2008
Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis
Flow cytometry is often used to characterize the malignant cells in leuk...
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02/20/2008
Classification Constrained Dimensionality Reduction
Dimensionality reduction is a topic of recent interest. In this paper, w...
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02/14/2008