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03/14/2022
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance
Electroencephalogram (EEG) signals are complex, non-linear, and non-stat...
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09/24/2021
The Mirror Langevin Algorithm Converges with Vanishing Bias
The technique of modifying the geometry of a problem from Euclidean to H...
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09/08/2021
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
This article considers the popular MCMC method of unadjusted Langevin Mo...
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05/30/2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
Driver drowsiness is one of main factors leading to road fatalities and ...
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06/16/2020
Hessian-Free High-Resolution Nesterov Acceleration for Sampling
We propose an accelerated-gradient-based MCMC method. It relies on a mod...
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06/16/2020
Hessian-Free High-Resolution Nesterov Accelerationfor Sampling
We propose an accelerated-gradient-based MCMC method. It relies on a mod...
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02/20/2020
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
Common Stochastic Gradient MCMC methods approximate gradients by stochas...
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11/21/2019
On the Use of C-index for Stratified and Cross-Validated Cox Model
We develop a baseline-adjusted C-index to evaluate fitted Cox proportion...
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06/10/2019
A cost-reducing partial labeling estimator in text classification problem
We propose a new approach to address the text classification problems wh...
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02/10/2018
Learning to Recommend via Inverse Optimal Matching
We consider recommendation in the context of optimal matching, i.e., we ...
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02/07/2017