research
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07/01/2022
Learning to correct spectral methods for simulating turbulent flows
Despite their ubiquity throughout science and engineering, only a handfu...
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02/26/2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
We propose a stochastic conditional gradient method (CGM) for minimizing...
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06/09/2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Intensive care units (ICU) are increasingly looking towards machine lear...
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05/19/2021
Boosting Variational Inference With Locally Adaptive Step-Sizes
Variational Inference makes a trade-off between the capacity of the vari...
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10/24/2018
Scalable Gaussian Processes on Discrete Domains
Kernel methods on discrete domains have shown great promise for many cha...
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06/06/2018
