58 citations · 99 across the 23 of their papers we have counts for
3 papers · 1 filter
Adaptive Sampling Strategies for Stochastic Optimization
Raghu Bollapragada, Richard Byrd, Jorge Nocedal
In this paper, we propose a stochastic optimization method that adaptively controls the sample size used in the computation of gradient approximations. Unlike other variance reduct…
Balancing Communication and Computation in Distributed Optimization
Albert S. Berahas, Raghu Bollapragada, Nitish Shirish Keskar +1
Methods for distributed optimization have received significant attention in recent years owing to their wide applicability in various domains. A distributed optimization method typ…
An Investigation of Newton-Sketch and Subsampled Newton Methods
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal
Sketching, a dimensionality reduction technique, has received much attention in the statistics community. In this paper, we study sketching in the context of Newton's method for so…