75 citations · 459 across the 65 of their papers we have counts for
6 papers · 1 filter
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
Onur Boyar, Ichiro Takeuchi
Latent Space Bayesian Optimization (LSBO) combines generative models, typically Variational Autoencoders (VAE), with Bayesian Optimization (BO) to generate de-novo objects of inter…
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union
Rory Bunker, Keisuke Fujii, Hiroyuki Hanada +1
Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequenc…
Selecting the Best in GANs Family: a Post Selection Inference Framework
Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu +3
"Which Generative Adversarial Networks (GANs) generates the most plausible images?" has been a frequently asked question among researchers. To address this problem, we first propos…
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki +3
We address the problem of estimating the difference between two probability densities. A naive approach is a two-step procedure of first estimating two densities separately and the…
Suboptimal Solution Path Algorithm for Support Vector Machine
Masayuki Karasuyama, Ichiro Takeuchi
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimizat…
Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines
Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama +1
An instance-weighted variant of the support vector machine (SVM) has attracted considerable attention recently since they are useful in various machine learning tasks such as non-s…