Search Results for author: Charlie Dickens

Found 5 papers, 2 papers with code

Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives

no code implementations6 Nov 2020 Charlie Dickens

Despite its impressive theory \& practical performance, Frequent Directions (\acrshort{fd}) has not been widely adopted for large-scale regression tasks.


Similarity of Neural Networks with Gradients

3 code implementations25 Mar 2020 Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou

A suitable similarity index for comparing learnt neural networks plays an important role in understanding the behaviour of the highly-nonlinear functions, and can provide insights on further theoretical analysis and empirical studies.

Network Pruning

Iterative Hessian Sketch in Input Sparsity Time

1 code implementation30 Oct 2019 Graham Cormode, Charlie Dickens

Scalable algorithms to solve optimization and regression tasks even approximately, are needed to work with large datasets.


Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms

no code implementations ICML 2018 Charlie Dickens, Graham Cormode, David Woodruff

Work on approximate linear algebra has led to efficient distributed and streaming algorithms for problems such as approximate matrix multiplication, low rank approximation, and regression, primarily for the Euclidean norm $\ell_2$.


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