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06/26/2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
The increasing reliance on ML models in high-stakes tasks has raised a m...
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10/27/2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Most state-of-the-art Graph Neural Networks (GNNs) can be defined as a f...
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04/12/2021
Understanding Overparameterization in Generative Adversarial Networks
A broad class of unsupervised deep learning methods such as Generative A...
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03/02/2020
Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs
GANs for time series data often use sliding windows or self-attention to...
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12/12/2018
Selection of Random Walkers that Optimizes the Global Mean First-Passage Time for Search in Complex Networks
We design a method to optimize the global mean first-passage time (GMFPT...
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12/12/2018
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
The effectiveness of learning in massive open online courses (MOOCs) can...
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12/12/2018
Transfer Learning using Representation Learning in Massive Online Open Courses
In MOOCs predictive models of student behavior support many aspects of l...
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12/12/2018