Search Results for author: Marcus Edel

Found 5 papers, 3 papers with code

Flexible numerical optimization with ensmallen

no code implementations9 Mar 2020 Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson

The library provides a fast and flexible C++ framework for mathematical optimization of arbitrary user-supplied functions.

ensmallen: a flexible C++ library for efficient function optimization

1 code implementation22 Oct 2018 Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson

We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to many machine learning problems.

BIG-bench Machine Learning

mlpack 3: a fast, flexible machine learning library

1 code implementation Journal of Open Source Software 2018 Ryan R. Curtin, Marcus Edel, Mikhail Lozhnikov, Yannis Mentekidis, Sumedh Ghaisas, Shangtong Zhang

In the past several years, the field of machine learning has seen an explosion of interest and excitement, with hundreds or thousands of algorithms developed for different tasks every year.

Benchmarking BIG-bench Machine Learning +1

A generic and fast C++ optimization framework

no code implementations17 Nov 2017 Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis

The development of the mlpack C++ machine learning library (http://www. mlpack. org/) has required the design and implementation of a flexible, robust optimization system that is able to solve the types of arbitrary optimization problems that may arise all throughout machine learning problems.

BIG-bench Machine Learning

Designing and building the mlpack open-source machine learning library

1 code implementation17 Aug 2017 Ryan R. Curtin, Marcus Edel

mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.