A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate

no code implementations • 27 Mar 2020 • Naeimeh Omidvar, Mohammad Ali Maddah-Ali, Hamed Mahdavi

In this paper, we propose a method of distributed stochastic gradient descent (SGD), with low communication load and computational complexity, and still fast convergence.

Towards Deployment of Robust AI Agents for Human-Machine Partnerships

no code implementations • 5 Oct 2019 • Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla

In the test phase, the AI agent has to interact with a user of unknown type.