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07/08/2023
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
The load planning problem is a critical challenge in service network des...
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05/16/2023
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
A novel problem of improving causal effect estimation accuracy with the ...
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02/27/2023
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area
This paper analyzes the impact of COVID-19 related lockdowns in the Atla...
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02/01/2023
Dictionary-based Manifold Learning
We propose a paradigm for interpretable Manifold Learning for scientific...
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02/01/2023
The Parametric Stability of Well-separated Spherical Gaussian Mixtures
We quantify the parameter stability of a spherical Gaussian Mixture Mode...
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04/02/2022
Risk-Aware Control and Optimization for High-Renewable Power Grids
The transition of the electrical power grid from fossil fuels to renewab...
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08/30/2021
Multi-Resolution Spatio-Temporal Prediction with Application to Wind Power Generation
This paper proposes a spatio-temporal model for wind speed prediction wh...
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07/30/2021
Distribution free optimality intervals for clustering
We address the problem of validating the ouput of clustering algorithms....
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06/09/2021
Public Transit for Special Events: Ridership Prediction and Train Optimization
Many special events, including sport games and concerts, often cause sur...
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10/09/2019
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
The goal of representation learning of knowledge graph is to encode both...
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11/29/2018