Maheshakya Wijewardena

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 6

Top Topics

Principal Component Regression

Data Partitioning

Convex Optimization

Top Venues

Publications

Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena
Principal Component Regression with Semirandom Observations via Matrix Completion. AISTATS (2021)
Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena
Additive Error Guarantees for Weighted Low Rank Approximation. ICML (2021)
Aditya Bhaskara, Maheshakya Wijewardena
On Distributed Averaging for Stochastic k-PCA. NeurIPS (2019)
Aditya Bhaskara, Maheshakya Wijewardena
Distributed Clustering via LSH Based Data Partitioning. ICML (2018)
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)
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)