Tomoharu Iwata

9

Papers

2

Total Citations

Papers (9)

Zero-Shot Task Adaptation with Relevant Feature Information

Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems

K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes

Meta-learning from Tasks with Heterogeneous Attribute Spaces

Loss function based second-order Jensen inequality and its application to particle variational inference

NeurIPS 2021arXiv

Meta-Learning for Relative Density-Ratio Estimation

NeurIPS 2021arXiv

Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion

Sharing Knowledge for Meta-learning with Feature Descriptions

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data