Ryan R. Curtin

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Venues

CoRR

J. Open Source Softw.

SISAP

ICSPCS

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. KDD (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. CoRR (2024)
Ryan R. Curtin, Marcus Edel, Conrad Sanderson
Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing. CoRR (2023)
Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson
mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. 8 (82) (2023)
Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson
mlpack 4: a fast, header-only C++ machine learning library. CoRR (2023)
Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
The ensmallen library for flexible numerical optimization. CoRR (2021)
Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
The ensmallen library for flexible numerical optimization. J. Mach. Learn. Res. 22 (2021)
Mahmoud Abo Khamis, Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian
An Approximation Algorithm for the Matrix Tree Multiplication Problem. MFCS (2021)
Conrad Sanderson, Ryan R. Curtin
An Adaptive Solver for Systems of Linear Equations. CoRR (2020)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. AISTATS (2020)
Conrad Sanderson, Ryan R. Curtin
An Adaptive Solver for Systems of Linear Equations. ICSPCS (2020)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Functional Aggregate Queries with Additive Inequalities. ACM Trans. Database Syst. 45 (4) (2020)
Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
Flexible numerical optimization with ensmallen. CoRR (2020)
Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin
Unconditional Coresets for Regularized Loss Minimization. AISTATS (2020)
Ryan R. Curtin, Javier R. Echauz, Andrew B. Gardner
Exploiting the structure of furthest neighbor search for fast approximate results. Inf. Syst. 80 (2019)
Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
On Coresets for Regularized Loss Minimization. CoRR (2019)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. CoRR (2019)
Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera
Detecting DGA domains with recurrent neural networks and side information. ARES (2019)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. PODS (2019)
Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera
Detecting DGA domains with recurrent neural networks and side information. CoRR (2018)
Conrad Sanderson, Ryan R. Curtin
A User-Friendly Hybrid Sparse Matrix Class in C++. CoRR (2018)
Conrad Sanderson, Ryan R. Curtin
A User-Friendly Hybrid Sparse Matrix Class in C++. ICMS (2018)
Ryan R. Curtin, Marcus Edel, Mikhail Lozhnikov, Yannis Mentekidis, Sumedh Ghaisas, Shangtong Zhang
mlpack 3: a fast, flexible machine learning library. J. Open Source Softw. 3 (26) (2018)
Conrad Sanderson, Ryan R. Curtin
User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation. CoRR (2018)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. CoRR (2018)
Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson
ensmallen: a flexible C++ library for efficient function optimization. CoRR (2018)
Conrad Sanderson, Ryan R. Curtin
gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation. J. Open Source Softw. 2 (18) (2017)
Conrad Sanderson, Ryan R. Curtin
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation. CoRR (2017)
Conrad Sanderson, Ryan R. Curtin
An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. ICSPCS (2017)
Ryan R. Curtin, Marcus Edel
Designing and building the mlpack open-source machine learning library. CoRR (2017)
Ryan R. Curtin
. SDM (2017)
Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner
Detecting Adversarial Samples from Artifacts. CoRR (2017)
Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis
A generic and fast C++ optimization framework. CoRR (2017)
Ryan R. Curtin, Andrew B. Gardner
Fast Approximate Furthest Neighbors with Data-Dependent Candidate Selection. SISAP (2016)
Conrad Sanderson, Ryan R. Curtin
Armadillo: a template-based C++ library for linear algebra. J. Open Source Softw. 1 (2) (2016)
Ryan R. Curtin, Andrew B. Gardner
Fast approximate furthest neighbors with data-dependent hashing. CoRR (2016)
Ryan R. Curtin
Dual-tree $k$-means with bounded iteration runtime. CoRR (2016)
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
Plug-and-play dual-tree algorithm runtime analysis. CoRR (2015)
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
Plug-and-play dual-tree algorithm runtime analysis. J. Mach. Learn. Res. 16 (2015)
Ryan R. Curtin
Faster Dual-Tree Traversal for Nearest Neighbor Search. SISAP (2015)
Ryan R. Curtin, Parikshit Ram
Dual-tree fast exact max-kernel search. Stat. Anal. Data Min. 7 (4) (2014)
Ryan R. Curtin, Wayne Daley, David V. Anderson
Classifying broiler chicken condition using audio data. GlobalSIP (2014)
Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles Lee Isbell Jr.
Tree-Independent Dual-Tree Algorithms CoRR (2013)
Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles L. Isbell Jr.
Tree-Independent Dual-Tree Algorithms. ICML (3) (2013)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: a scalable C++ machine learning library. J. Mach. Learn. Res. 14 (1) (2013)
Ryan R. Curtin, Alexander G. Gray, Parikshit Ram
Fast Exact Max-Kernel Search. SDM (2013)
Ryan R. Curtin, Parikshit Ram, Alexander G. Gray
Fast Exact Max-Kernel Search CoRR (2012)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: A Scalable C++ Machine Learning Library CoRR (2012)
Ryan R. Curtin, Nikolaos Vasiloglou, David V. Anderson
Learning distances to improve phoneme classification. MLSP (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ryan R. Curtin