A Real-World Implementation of UnbiasedLift-based Bidding System

機械学習

Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata

IEEE Big Data 2021

The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy

計量経済学

Masahiro Kato, Kenichiro McAlinn, Shota Yasui

NeurIPS 2021

Constrained Graphic Layout Generation via Latent Optimization

コンピュータビジョン

Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

ACM Multimedia 2021

CanvasVAE: Learning to Generate Vector Graphic Documents

コンピュータビジョン

Kota Yamaguchi

ICCV 2021

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

機械学習

Masahiro Kato, Takeshi Teshima

ICML 2021

Adaptive Experimental Design for Efficient Treatment Effect Estimation

計量経済学

Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita

NeurIPS 2020 Causal Discovery and Causality-Inspired Machine Learning Workshop

An Empirical Study of Generating Texts for Search-Engine Advertising

自然言語処理

Hidetaka Kamigaito, Peinan Zhang, Hiroya Takamura, Manabu Okumura

NAACL-HLT 2021 Industry Track

Scalable Personalised Item Ranking through Parametric Density Estimation

推薦

Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh

SIGIR 2021

機械学習におけるハイパパラメータ最適化手法：概要と特徴

推薦

尾崎 嘉彦, 野村 将寛 , 大西 正輝

電子情報通信学会論文誌 D

Team Optuna Developers’ Method for Black-Box Optimization Challenge 2020

機械学習

Masashi Shibata, Toshihiko Yanase, Hideaki Imamura, Masahiro Nomura, Takeru Ohta, Shotaro Sano, Hiroyuki Vincent Yamazaki

NeurIPS2020 Workshop (BBO Challenge)

Density-Ratio Based Personalised Ranking from Implicit Feedback

推薦

Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh

WWW 2021

Multi-Source Unsupervised Hyperparameter Optimization

ハイパーパラメータ最適化

Masahiro Nomura, Yuta Saito

ICML 2020 AutoML Workshop