Kishan Wimalawarne





  1. Kishan Wimalawarne, Hiroshi Mamitsuka, Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms, NIPS 2018 (Accepted)


  1. Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka, Convex Coupled Matrix and Tensor Completion, Neural Computation, August 2018 0:0, Pages 1-33, Preprint Link


  1. Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang, Convex Factorization Machine for Regression. KDD 17 Link


  1. Kishan Wimalawarne, Ryota Tomioka, and Masashi Sugiyama, Theoretical and Experimental Analyses of Tensor-Based Regression and Classification, Neural Computation, April 2016, Vol. 28, No. 4 , Pages 686-715. Link, (Preprint) code

  1. Wimalawarne, K., Sugiyama, M., & Tomioka, R. Multitask learning meets tensor factorization: Task imputation via convex optimization. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 27, pp.2825-2833, 2014. (Presented at Neural Information Processing Systems (NIPS2014), Montreal, Quebec, Canada, Dec. 8-11, 2014) Link code