We have preprints which we can provide on request.
Kishan Wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka, "Scaled Coupled Norms and Coupled Higher Order Tensor Completion" (Accepted to Neural Computation)
Kishan Wimalawarne, Hiroshi Mamitsuka, Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms, NeurIPS 2018 Link, code
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka, Convex Coupled Matrix and Tensor Completion, Neural Computation, August 2018 0:0, Pages 1-33, Preprint,code
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
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
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 (NeurIPS 2014 [former NIPS]), Montreal, Quebec, Canada, Dec. 8-11, 2014) Linkcode