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07/31/2023
Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths
In this work, we design, analyze, and optimize sequential and shared-mem...
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11/16/2020
Avoiding Communication in Logistic Regression
Stochastic gradient descent (SGD) is one of the most widely used optimiz...
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12/17/2017
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization
Parallel computing has played an important role in speeding up convex op...
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12/06/2017
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Training deep neural networks with Stochastic Gradient Descent, or its v...
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10/24/2017