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03/31/2021
Fitting Elephants
Textbook wisdom advocates for smooth function fits and implies that inte...
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03/20/2020
Detection and skeletonization of single neurons and tracer injections using topological methods
Neuroscientific data analysis has traditionally relied on linear algebra...
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06/09/2019
Understanding overfitting peaks in generalization error: Analytical risk curves for l_2 and l_1 penalized interpolation
Traditionally in regression one minimizes the number of fitting paramete...
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05/17/2019
SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design
We design a self size-estimating feed-forward network (SSFN) using a joi...
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03/31/2018
Locally Convex Sparse Learning over Networks
We consider a distributed learning setup where a sparse signal is estima...
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03/08/2018
Fast Convergence for Stochastic and Distributed Gradient Descent in the Interpolation Limit
Modern supervised learning techniques, particularly those using so calle...
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10/23/2017
Progressive Learning for Systematic Design of Large Neural Networks
We develop an algorithm for systematic design of a large artificial neur...
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09/22/2017
