Jaya Kawale

Analytics Research Scientist

BigData Experience Lab, San Jose

Jaya’s primary research interests are in machine learning and data mining and its applications especially for large scale datasets. She completed her PhD in Jan 2013 from the University of Minnesota, Twin Cities. Her thesis was titled “Mining relationships in spatio-temporal datasets”.

My Publications

Practical Linear Models for Large-Scale One-Class Collaborative Filtering

Sedhain, S., Bui, H., Kawale, J., Vlassis, N., Kveton, B., Menon, A., Bui, T., Sanner, S. (Jul. 9, 2016)
25th International Joint Conference on Artificial Intelligence

Matching via dimensionality reduction for estimation of treatment effects in digital marketing campaigns

Li, S., Vlassis, N., Kawale, J., Fu, R. (Jul. 9, 2016)
25th International Joint Conference on Artificial Intelligence (IJCAI)

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation

Kawale, J., Bui, H., Kveton, B., Tran-Thanh, L., Chawla, S. (Dec. 7, 2015)
Advances in Neural Information Processing Systems 28