89 citations · 192 across the 8 of their papers we have counts for
3 papers · 1 filter
Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama
Feature selection is a technique to screen out less important features. Many existing supervised feature selection algorithms use redundancy and relevancy as the main criteria to s…
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
Oriental ink painting, called Sumi-e, is one of the most appealing painting styles that has attracted artists around the world. Major challenges in computer-based Sumi-e simulation…
Parametric Return Density Estimation for Reinforcement Learning
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima +2
Most conventional Reinforcement Learning (RL) algorithms aim to optimize decision-making rules in terms of the expected returns. However, especially for risk management purposes, o…