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12/06/2022
Learning the joint distribution of two sequences using little or no paired data
We present a noisy channel generative model of two sequences, for exampl...
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03/26/2021
Gated Transformer Networks for Multivariate Time Series Classification
Deep learning model (primarily convolutional networks and LSTM) for time...
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12/28/2018
Reconciling modern machine learning and the bias-variance trade-off
The question of generalization in machine learning---how algorithms are ...
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11/06/2018
On exponential convergence of SGD in non-convex over-parametrized learning
Large over-parametrized models learned via stochastic gradient descent (...
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11/06/2018
Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement
We apply a fast kernel method for mask-based single-channel speech enhan...
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06/15/2018
Learning kernels that adapt to GPU
In recent years machine learning methods that nearly interpolate the dat...
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02/05/2018
To understand deep learning we need to understand kernel learning
Generalization performance of classifiers in deep learning has recently ...
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12/18/2017
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Stochastic Gradient Descent (SGD) with small mini-batch is a key compone...
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03/30/2017