69 citations · 217 across the 26 of their papers we have counts for
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Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Establishing a fast rate of convergence for optimization methods is crucial to their applicability in practice. With the increasing popularity of deep learning over the past decade…
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin +1
Matrix completion problems arise in many applications including recommendation systems, computer vision, and genomics. Increasingly larger neural networks have been successful in m…
A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
Aligned latent spaces, where meaningful semantic shifts in the input space correspond to a translation in the embedding space, play an important role in the success of downstream t…