no code implementations • NeurIPS 2020 • Kuan-Yun Lee, Thomas Courtade
We establish a new class of minimax prediction error bounds for generalized linear models.
1 code implementation • 18 Aug 2020 • Vipul Gupta, Soham Phade, Thomas Courtade, Kannan Ramchandran
As one of the fastest-growing cloud services, serverless computing provides an opportunity to better serve both users and providers through the incorporation of market-based strategies for pricing and resource allocation.
Distributed, Parallel, and Cluster Computing Computer Science and Game Theory
1 code implementation • 21 Jan 2020 • Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas Courtade, Kannan Ramchandran
Inexpensive cloud services, such as serverless computing, are often vulnerable to straggling nodes that increase end-to-end latency for distributed computation.
Distributed, Parallel, and Cluster Computing Information Theory Information Theory
1 code implementation • 21 Mar 2019 • Vipul Gupta, Swanand Kadhe, Thomas Courtade, Michael W. Mahoney, Kannan Ramchandran
Motivated by recent developments in serverless systems for large-scale computation as well as improvements in scalable randomized matrix algorithms, we develop OverSketched Newton, a randomized Hessian-based optimization algorithm to solve large-scale convex optimization problems in serverless systems.
1 code implementation • 6 Nov 2018 • Vipul Gupta, Shusen Wang, Thomas Courtade, Kannan Ramchandran
We propose OverSketch, an approximate algorithm for distributed matrix multiplication in serverless computing.
Distributed, Parallel, and Cluster Computing Information Theory Information Theory