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06/24/2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
We present a new, stochastic variant of the projective splitting (PS) fa...
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05/12/2021
SimNet: Computer Architecture Simulation using Machine Learning
While cycle-accurate simulators are essential tools for architecture res...
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02/20/2020
Bounding the expected run-time of nonconvex optimization with early stopping
This work examines the convergence of stochastic gradient-based optimiza...
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06/13/2019
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training
Stochastic Gradient Descent (SGD) is the most popular algorithm for trai...
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03/05/2019