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01/04/2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Capsule neural networks replace simple, scalar-valued neurons with vecto...
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10/19/2022
Convexity Certificates from Hessians
The Hessian of a differentiable convex function is positive semidefinite...
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05/12/2022
Vectorized and performance-portable Quicksort
Recent works showed that implementations of Quicksort using vector CPU i...
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03/30/2022
Optimization for Classical Machine Learning Problems on the GPU
Constrained optimization problems arise frequently in classical machine ...
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10/07/2020
A Simple and Efficient Tensor Calculus for Machine Learning
Computing derivatives of tensor expressions, also known as tensor calcul...
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05/31/2019
GENO -- GENeric Optimization for Classical Machine Learning
Although optimization is the longstanding algorithmic backbone of machin...
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01/28/2019
Ising Models with Latent Conditional Gaussian Variables
Ising models describe the joint probability distribution of a vector of ...
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10/07/2016
Distributed Convex Optimization with Many Convex Constraints
We address the problem of solving convex optimization problems with many...
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03/27/2009
