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08/08/2023
Iterative Sketching for Secure Coded Regression
In this work, we propose methods for speeding up linear regression distr...
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04/17/2023
Graph Sparsification by Approximate Matrix Multiplication
Graphs arising in statistical problems, signal processing, large network...
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08/16/2022
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
In second-order uncertain Bayesian networks, the conditional probabiliti...
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08/08/2022
Uncertain Bayesian Networks: Learning from Incomplete Data
When the historical data are limited, the conditional probabilities asso...
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07/22/2022
High dimensional stochastic linear contextual bandit with missing covariates
Recent works in bandit problems adopted lasso convergence theory in the ...
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01/21/2022
Orthonormal Sketches for Secure Coded Regression
In this work, we propose a method for speeding up linear regression dist...
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09/22/2021
Numerically Stable Binary Coded Computations
This paper addresses the gradient coding and coded matrix multiplication...
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03/15/2021
Data Discovery Using Lossless Compression-Based Sparse Representation
Sparse representation has been widely used in data compression, signal a...
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03/05/2020
Straggler Robust Distributed Matrix Inverse Approximation
A cumbersome operation in numerical analysis and linear algebra, optimiz...
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02/13/2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Graph convolutional networks (GCNs) are a widely used method for graph r...
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01/30/2020
Numerically Stable Binary Gradient Coding
A major hurdle in machine learning is scalability to massive datasets. O...
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01/30/2020
Weighted Gradient Coding with Leverage Score Sampling
A major hurdle in machine learning is scalability to massive datasets. A...
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10/28/2019
The Power of Graph Convolutional Networks to Distinguish Random Graph Models
Graph convolutional networks (GCNs) are a widely used method for graph r...
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01/28/2019
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
We propose and analyze a method for semi-supervised learning from partia...
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01/27/2018
Scalable Mutual Information Estimation using Dependence Graphs
We propose a unified method for empirical non-parametric estimation of g...
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01/01/2018
Scalable Hash-Based Estimation of Divergence Measures
We propose a scalable divergence estimation method based on hashing. Con...
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11/15/2017
Semiblind subgraph reconstruction in Gaussian graphical models
Consider a social network where only a few nodes (agents) have meaningfu...
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10/31/2017
Rate-optimal Meta Learning of Classification Error
Meta learning of optimal classifier error rates allows an experimenter t...
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02/17/2017
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios
We propose a direct estimation method for Rényi and f-divergence measure...
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01/07/2017
Similarity Function Tracking using Pairwise Comparisons
Recent work in distance metric learning has focused on learning transfor...
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09/23/2016
Multilayer Spectral Graph Clustering via Convex Layer Aggregation
Multilayer graphs are commonly used for representing different relations...
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09/21/2016
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering
One of the longstanding problems in spectral graph clustering (SGC) is t...
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09/13/2016
Information Theoretic Structure Learning with Confidence
Information theoretic measures (e.g. the Kullback Liebler divergence and...
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10/13/2015
The intrinsic value of HFO features as a biomarker of epileptic activity
High frequency oscillations (HFOs) are a promising biomarker of epilepti...
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08/20/2015
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis
We consider the problem of identifying patterns in a data set that exhib...
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04/27/2015
Meta learning of bounds on the Bayes classifier error
Meta learning uses information from base learners (e.g. classifiers or e...
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04/10/2015
Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization
Separating active regions that are quiet from potentially eruptive ones ...
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04/09/2015
Phase Transitions in Spectral Community Detection of Large Noisy Networks
In this paper, we study the sensitivity of the spectral clustering based...
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03/13/2015
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis
The flare-productivity of an active region is observed to be related to ...
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11/07/2014
Multivariate f-Divergence Estimation With Confidence
The problem of f-divergence estimation is important in the fields of mac...
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09/25/2014
MIST: L0 Sparse Linear Regression with Momentum
Significant attention has been given to minimizing a penalized least squ...
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08/05/2014
L0 Sparse Inverse Covariance Estimation
Recently, there has been focus on penalized log-likelihood covariance es...
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06/24/2014
Image patch analysis and clustering of sunspots: a dimensionality reduction approach
Sunspots, as seen in white light or continuum images, are associated wit...
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05/19/2014
Kronecker PCA Based Spatio-Temporal Modeling of Video for Dismount Classification
We consider the application of KronPCA spatio-temporal modeling techniqu...
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02/21/2014
Pareto-depth for Multiple-query Image Retrieval
Most content-based image retrieval systems consider either one single qu...
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07/27/2013
Kronecker Sum Decompositions of Space-Time Data
In this paper we consider the use of the space vs. time Kronecker produc...
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04/30/2013
Revealing social networks of spammers through spectral clustering
To date, most studies on spam have focused only on the spamming phase of...
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03/19/2013
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models
We consider distributed estimation of the inverse covariance matrix, als...
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02/12/2013
Covariance Estimation in High Dimensions via Kronecker Product Expansions
This paper presents a new method for estimating high dimensional covaria...
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02/03/2013
Correcting Camera Shake by Incremental Sparse Approximation
The problem of deblurring an image when the blur kernel is unknown remai...
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04/03/2012
Convergence Properties of Kronecker Graphical Lasso Algorithms
This paper studies iteration convergence of Kronecker graphical lasso (K...
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10/17/2011
Multi-criteria Anomaly Detection using Pareto Depth Analysis
We consider the problem of identifying patterns in a data set that exhib...
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05/09/2011
Order-preserving factor analysis (OPFA)
We present a novel factor analysis method that can be applied to the dis...
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04/11/2011
Adaptive Evolutionary Clustering
In many practical applications of clustering, the objects to be clustere...
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01/29/2011
Recursive ℓ_1,∞ Group lasso
We introduce a recursive adaptive group lasso algorithm for real-time pe...
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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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04/14/2010
Spatio-Temporal Graphical Model Selection
We consider the problem of estimating the topology of spatial interactio...
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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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08/18/2008
Decomposable Principal Component Analysis
We consider principal component analysis (PCA) in decomposable Gaussian ...
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04/17/2008
