32 citations · 37 across the 10 of their papers we have counts for
11 papers
Abstract Operations Research Modeling Using Natural Language Inputs
Junxuan Li, Ryan Wickman, Sahil Bhatnagar +2
Operations research (OR) uses mathematical models to enhance decision-making, but developing these models requires expert knowledge and can be time-consuming. Automated mathematica…
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar +1
The problem of saddle-point avoidance for non-convex optimization is quite challenging in large scale distributed learning frameworks, such as Federated Learning, especially in the…
Estimation of Shortest Path Covariance Matrices
Raj Kumar Maity, Cameron Musco
We study the sample complexity of estimating the covariance matrix of a distribution over given independent sample…
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
We develop a distributed second order optimization algorithm that is communication-efficient as well as robust against Byzantine failures of the worker machines. We propose COMRADE…
A workload-adaptive mechanism for linear queries under local differential privacy
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar +1
We propose a new mechanism to accurately answer a user-provided set of linear counting queries under local differential privacy (LDP). Given a set of linear counting queries (the w…
Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe +2
We develop a communication-efficient distributed learning algorithm that is robust against Byzantine worker machines. We propose and analyze a distributed gradient-descent algorith…