Tomoharu Iwata

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

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

Positive-unlabeled AUC Maximization under Covariate Shift

Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation

Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices

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

Meta-learning Representations for Learning from Multiple Annotators

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data