Parikshit Ram
TitleCited byYear
MLPACK: A scalable C++ machine learning library
RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray
Journal of Machine Learning Research 14 (Mar), 801-805, 2013
1582013
Maximum inner-product search using cone trees
P Ram, AG Gray
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
1072012
Linear-time algorithms for pairwise statistical problems
P Ram, D Lee, W March, AG Gray
Advances in Neural Information Processing Systems, 1527-1535, 2009
652009
Fast euclidean minimum spanning tree: algorithm, analysis, and applications
WB March, P Ram, AG Gray
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
642010
Density estimation trees
P Ram, AG Gray
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
612011
Efficient retrieval of recommendations in a matrix factorization framework
N Koenigstein, P Ram, Y Shavitt
Proceedings of the 21st ACM international conference on Information and …, 2012
602012
Fast exact max-kernel search
RR Curtin, P Ram, AG Gray
Proceedings of the 2013 SIAM International Conference on Data Mining, 1-9, 2013
362013
Tree-independent dual-tree algorithms
RR Curtin, WB March, P Ram, DV Anderson, AG Gray, CL Isbell Jr
arXiv preprint arXiv:1304.4327, 2013
282013
Dual‐tree fast exact max‐kernel search
RR Curtin, P Ram
Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (4 …, 2014
262014
Rank-approximate nearest neighbor search: Retaining meaning and speed in high dimensions
P Ram, D Lee, H Ouyang, AG Gray
Advances in Neural Information Processing Systems, 1536-1544, 2009
262009
Which space partitioning tree to use for search?
P Ram, A Gray
Advances in Neural Information Processing Systems, 656-664, 2013
212013
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
P Ram, D Lee, AG Gray
SIAM Data Mining, 2012
152012
Configurable Machine Learning Method Selection and Parameter Optimization System and Method
M Gibiansky, R Riegel, Y Yang, P Ram, A Gray
US Patent App. 14/883,522, 2016
142016
Improved maximum inner product search with better theoretical guarantees
O Keivani, K Sinha, P Ram
2017 International Joint Conference on Neural Networks (IJCNN), 2927-2934, 2017
82017
Plug-and-play dual-tree algorithm runtime analysis
RR Curtin, D Lee, WB March, P Ram
The Journal of Machine Learning Research 16 (1), 3269-3297, 2015
82015
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
D Wang, JD Weisz, M Muller, P Ram, W Geyer, C Dugan, Y Tausczik, ...
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-24, 2019
62019
An ADMM Based Framework for AutoML Pipeline Configuration
S Liu, P Ram, D Vijaykeerthy, D Bouneffouf, G Bramble, H Samulowitz, ...
arXiv preprint arXiv:1905.00424, 2019
4*2019
Improved maximum inner product search with better theoretical guarantee using randomized partition trees
O Keivani, K Sinha, P Ram
Machine Learning 107 (6), 1069-1094, 2018
42018
How can AI Automate End-to-End Data Science?
C Aggarwal, D Bouneffouf, H Samulowitz, B Buesser, T Hoang, ...
arXiv preprint arXiv:1910.14436, 2019
2019
Revisiting kd-tree for Nearest Neighbor Search
P Ram, K Sinha
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
2019
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Articles 1–20