research
∙
05/31/2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier
Algorithmic fairness has emerged as an important consideration when usin...
share
research
∙
02/09/2022
A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks
In a number of application domains, one observes a sequence of network d...
research
∙
11/01/2021
Network Clustering for Latent State and Changepoint Detection
Network models provide a powerful and flexible framework for analyzing a...
research
∙
04/06/2021
Sparse Partial Least Squares for Coarse Noisy Graph Alignment
Graph signal processing (GSP) provides a powerful framework for analyzin...
research
∙
12/08/2020
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering
Clustering is a ubiquitous problem in data science and signal processing...
research
∙
12/08/2020
Automatic Registration and Convex Clustering of Time Series
Clustering of time series data exhibits a number of challenges not prese...
research
∙
07/28/2019
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques
We consider the problem of estimating multiple principal components usin...
research
∙
07/23/2019
Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility
Financial markets for Liquified Natural Gas (LNG) are an important and r...
research
∙
01/18/2019
Splitting Methods for Convex Bi-Clustering and Co-Clustering
Co-Clustering, the problem of simultaneously identifying clusters across...
research
∙
01/06/2019
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization
Convex clustering is a promising new approach to the classical problem o...
research
∙
01/06/2019
