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05/18/2023
Massively Scalable Inverse Reinforcement Learning in Google Maps
Optimizing for humans' latent preferences is a grand challenge in route ...
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02/28/2023
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
We introduce a new method based on nonnegative matrix factorization, Neu...
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01/09/2023
Structural Equivalence in Subgraph Matching
Symmetry plays a major role in subgraph matching both in the description...
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12/01/2022
Inference of Media Bias and Content Quality Using Natural-Language Processing
Media bias can significantly impact the formation and development of opi...
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04/28/2021
Analysis of Legal Documents via Non-negative Matrix Factorization Methods
The California Innocence Project (CIP), a clinical law school program ai...
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10/04/2020
On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics
We analyze Twitter data relating to the COVID-19 pandemic using dynamic ...
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06/01/2020
Randomized Kaczmarz for Tensor Linear Systems
Solving linear systems of equations is a fundamental problem in mathemat...
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02/10/2020
Randomized Kaczmarz with Averaging
The randomized Kaczmarz (RK) method is an iterative method for approxima...
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09/09/2019
Adaptive Sketch-and-Project Methods for Solving Linear Systems
We present new adaptive sampling rules for the sketch-and-project method...
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07/26/2019
Bias of Homotopic Gradient Descent for the Hinge Loss
Gradient descent is a simple and widely used optimization method for mac...
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07/05/2019
On Inferences from Completed Data
Matrix completion has become an extremely important technique as data sc...
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09/09/2018
An iterative method for classification of binary data
In today's data driven world, storing, processing, and gleaning insights...
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07/23/2018
Hierarchical Classification using Binary Data
In classification problems, especially those that categorize data into a...
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07/09/2018
Supervised Local Modeling for Interpretability
Model interpretability is an increasingly important component of practic...
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01/29/2018