Ryan R. Curtin

Orcid: 0000-0002-9903-8214

According to our database1, Ryan R. Curtin authored at least 37 papers between 2011 and 2024.

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Bibliography

2024
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification.
CoRR, 2024

High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
mlpack 4: a fast, header-only C++ machine learning library.
J. Open Source Softw., February, 2023

Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing.
CoRR, 2023

2021
The ensmallen library for flexible numerical optimization.
J. Mach. Learn. Res., 2021

An Approximation Algorithm for the Matrix Tree Multiplication Problem.
Proceedings of the 46th International Symposium on Mathematical Foundations of Computer Science, 2021

2020
Functional Aggregate Queries with Additive Inequalities.
ACM Trans. Database Syst., 2020

Flexible numerical optimization with ensmallen.
CoRR, 2020

An Adaptive Solver for Systems of Linear Equations.
Proceedings of the 14th International Conference on Signal Processing and Communication Systems, 2020

Unconditional Coresets for Regularized Loss Minimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Rk-means: Fast Clustering for Relational Data.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Exploiting the structure of furthest neighbor search for fast approximate results.
Inf. Syst., 2019

On Coresets for Regularized Loss Minimization.
CoRR, 2019

Detecting DGA domains with recurrent neural networks and side information.
Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018
mlpack 3: a fast, flexible machine learning library.
J. Open Source Softw., 2018

User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation.
CoRR, 2018

ensmallen: a flexible C++ library for efficient function optimization.
CoRR, 2018

A User-Friendly Hybrid Sparse Matrix Class in C++.
Proceedings of the Mathematical Software - ICMS 2018, 2018

2017
gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation.
J. Open Source Softw., 2017

A generic and fast C++ optimization framework.
CoRR, 2017

Designing and building the mlpack open-source machine learning library.
CoRR, 2017

Detecting Adversarial Samples from Artifacts.
CoRR, 2017

A Dual-Tree Algorithm for Fast <i>k</i>-means Clustering With Large <i>k</i>.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation.
Proceedings of the 11th International Conference on Signal Processing and Communication Systems, 2017

2016
Improving dual-tree algorithms.
PhD thesis, 2016

Armadillo: a template-based C++ library for linear algebra.
J. Open Source Softw., 2016

Fast approximate furthest neighbors with data-dependent hashing.
CoRR, 2016

Dual-tree $k$-means with bounded iteration runtime.
CoRR, 2016

Fast Approximate Furthest Neighbors with Data-Dependent Candidate Selection.
Proceedings of the Similarity Search and Applications - 9th International Conference, 2016

2015
Plug-and-play dual-tree algorithm runtime analysis.
J. Mach. Learn. Res., 2015

Faster Dual-Tree Traversal for Nearest Neighbor Search.
Proceedings of the Similarity Search and Applications - 8th International Conference, 2015

2014
Dual-tree fast exact max-kernel search.
Stat. Anal. Data Min., 2014

Classifying broiler chicken condition using audio data.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
MLPACK: a scalable C++ machine learning library.
J. Mach. Learn. Res., 2013

Fast Exact Max-Kernel Search.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Tree-Independent Dual-Tree Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

2011
Learning distances to improve phoneme classification.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011


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