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06/02/2023
Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation
Network optimization is a crucial step in the field of deep learning, as...
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06/16/2022
On Error and Compression Rates for Prototype Rules
We study the close interplay between error and compression in the non-pa...
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10/01/2020
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
We study universal consistency and convergence rates of simple nearest-n...
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06/24/2019
Universal Bayes consistency in metric spaces
We show that a recently proposed 1-nearest-neighbor-based multiclass lea...
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02/27/2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
Latent variable models with hidden binary units appear in various applic...
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07/01/2014
A Bayes consistent 1-NN classifier
We show that a simple modification of the 1-nearest neighbor classifier ...
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02/25/2013
