1 citations · 1 across the 2 of their papers we have counts for
3 papers
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran
As machine learning gets deployed more and more widely, and model sizes continue to grow, improving computational efficiency during model inference has become a key challenge. In m…
Generalized Random Surfer-Pair Models
Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan
SimRank is a widely studied link-based similarity measure that is known for its simple, yet powerful philosophy that two nodes are similar if they are referenced by similar nodes.…
An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
Robust Policy Search is the problem of learning policies that do not degrade in performance when subject to unseen environment model parameters. It is particularly relevant for tra…