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ORCIDMaheshakya Wijewardena
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2020 – today
- 2021
[b1]Maheshakya Wijewardena:
Simple Algorithms with Provable Guarantees for Large Scale Data Analysis. University of Utah, USA, 2021- [c7]Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena:
Principal Component Regression with Semirandom Observations via Matrix Completion. AISTATS 2021: 2665-2673 - [c6]Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena:
Additive Error Guarantees for Weighted Low Rank Approximation. ICML 2021: 874-883 - 2020
- [c5]Pruthuvi Maheshakya Wijewardena, Aditya Bhaskara, Sneha Kumar Kasera, Syed Ayaz Mahmud, Neal Patwari:
A plug-n-play game theoretic framework for defending against radio window attacks. WISEC 2020: 284-294
2010 – 2019
- 2019
- [c4]Aditya Bhaskara, Maheshakya Wijewardena:
On Distributed Averaging for Stochastic k-PCA. NeurIPS 2019: 11024-11033 - 2018
- [c3]Aditya Bhaskara, Maheshakya Wijewardena:
Distributed Clustering via LSH Based Data Partitioning. ICML 2018: 569-578 - 2015
- [c2]Thilina Rathnayake
, Maheshakya Wijewardena, Thimal Kempitiya, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps. IDA 2015: 229-240 - [c1]Maheshakya Wijewardena, Thimal Kempitiya, Thilina Rathnayake, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Heterogeneous data fusion with multiple kernel growing self organizing maps. SCAI 2015: 167-176
Coauthor Index
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