48 citations · 70 across the 13 of their papers we have counts for
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stat.ML2020
Simple and Scalable Parallelized Bayesian Optimization
Masahiro Nomura
In recent years, leveraging parallel and distributed computational resources has become essential to solve problems of high computational cost. Bayesian optimization (BO) has shown…
stat.ML2019★ 1 cited
A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura, Kenshi Abe
The aim of black-box optimization is to optimize an objective function within the constraints of a given evaluation budget. In this problem, it is generally assumed that the comput…
stat.ML2019
Towards Resolving Propensity Contradiction in Offline Recommender Learning
Yuta Saito, Masahiro Nomura
We study offline recommender learning from explicit rating feedback in the presence of selection bias. A current promising solution for the bias is the inverse propensity score (IP…