Shunsuke Aihara

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All published works

Action	Title	Year	Authors
+	A Large-scale Open Dataset for Bandit Algorithms	2020	Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita
+	Large-scale Open Dataset, Pipeline, and Benchmark for Bandit Algorithms	2020	Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita
+ PDF Chat	Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation	2020	Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita
+	Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation	2020	Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita
+ PDF Chat	Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention	2018	H. Tachibana Katsuya Uenoyama Shunsuke Aihara
+ PDF Chat	Computational Constancy Measures of Texts—Yule's <i>K</i> and Rényi's Entropy	2015	Kumiko Tanaka‐Ishii Shunsuke Aihara

Common Coauthors

Coauthor	Papers Together
Megumi Matsutani	4
Yuta Saito	4
Yusuke Narita	4
H. Tachibana	1
Kumiko Tanaka‐Ishii	1
Katsuya Uenoyama	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms	2011	Lihong Li Wei Chu John Langford Xuanhui Wang	3
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	3
+ PDF Chat	Efficient Counterfactual Learning from Bandit Feedback	2019	Yusuke Narita Shota Yasui Kohei Yata	3
+	On the Design of Estimators for Bandit Off-Policy Evaluation	2019	Nikos Vlassis Aurélien Bibaut Maria Dimakopoulou Tony Jebara	3
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions	2020	James O. McInerney Brian M. Brost Praveen Chandar Rishabh Mehrotra Benjamin Carterette	3
+	Doubly Robust Policy Evaluation and Optimization	2014	Miroslav Dudı́k Dumitru Erhan John Langford Lihong Li	3
+ PDF Chat	The offset tree for learning with partial labels	2009	Alina Beygelzimer John Langford	3
+	Optimal and Adaptive Off-policy Evaluation in Contextual Bandits	2016	Yu-Xiang Wang Alekh Agarwal Miroslav Dudík	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Off-Policy Evaluation and Learning for External Validity under a Covariate Shift	2020	Masahiro Kato Masatoshi Uehara Shota Yasui	2
+	Benchmarking Graph Neural Networks	2020	Vijay Prakash Dwivedi Chaitanya K. Joshi Thomas Laurent Yoshua Bengio Xavier Bresson	2
+	Learning from Logged Implicit Exploration Data	2010	Alex Strehl John Langford Sham M. Kakade Lihong Li	2
+	Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits	2021	Junpei Komiyama Edouard Fouché Junya Honda	2
+	A Practical Guide of Off-Policy Evaluation for Bandit Problems	2020	Masahiro Kato Kenshi Abe Kaito Ariu Shota Yasui	2
+ PDF Chat	Evaluating the Robustness of Off-Policy Evaluation	2021	Yuta Saito Takuma Udagawa Haruka Kiyohara Kazuki Mogi Yusuke Narita Kei Tateno	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	Doubly Robust Off-policy Value Evaluation for Reinforcement Learning	2015	Nan Jiang Lihong Li	2
+	RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising	2018	David Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou	2
+	Representation Balancing MDPs for Off-policy Policy Evaluation	2018	Yao Liu Omer Gottesman Aniruddh Raghu Matthieu Komorowski A. Aldo Faisal Finale Doshi‐Velez Emma Brunskill	2
+ PDF Chat	Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers	2017	Aman Agarwal Soumya Basu Tobias Schnabel Thorsten Joachims	2
+	Adapting multi-armed bandits policies to contextual bandits scenarios	2018	David Cortés‐Polo	2
+ PDF Chat	Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data	2007	Joseph Kang Joseph L. Schafer	2
+	Large-scale Validation of Counterfactual Learning Methods: A Test-Bed	2016	Damien Lefortier Adith Swaminathan Xiaotao Gu Thorsten Joachims Maarten de Rijke	2
+	Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning	2019	Cameron Voloshin Hoang Le Nan Jiang Yisong Yue	2
+ PDF Chat	Debiased Off-Policy Evaluation for Recommendation Systems	2021	Yusuke Narita Shota Yasui Kohei Yata	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	1
+	Training Very Deep Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	1
+	Quasi-Recurrent Neural Networks	2016	James Bradbury Stephen Merity Caiming Xiong Richard Socher	1
+ PDF Chat	Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models	2016	Iulian Vlad Serban Alessandro Sordoni Yoshua Bengio Aaron Courville Joëlle Pineau	1
+	Character-level Convolutional Networks for Text Classification	2015	Xiang Zhang Junbo Zhao Yann LeCun	1
+	Policy Evaluation and Optimization with Continuous Treatments	2018	Nathan Kallus Angela Zhou	1
+ PDF Chat	Tacotron: Towards End-to-End Speech Synthesis	2017	Yuxuan Wang RJ Skerry-Ryan Daisy Stanton Yonghui Wu Ron J. Weiss Navdeep Jaitly Zongheng Yang Ying Xiao Zhifeng Chen Samy Bengio	1
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	1
+ PDF Chat	StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks	2017	Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris Metaxas	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes.	2019	Nathan Kallus Masatoshi Uehara	1
+	Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling	2019	Tengyang Xie Yifei Ma Yu-Xiang Wang	1
+ PDF Chat	Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning	2022	Nathan Kallus Masatoshi Uehara	1
+	Doubly robust off-policy evaluation with shrinkage	2020	Yi Su Maria Dimakopoulou Akshay Krishnamurthy Miroslav Dudík	1
+ PDF Chat	Offline A/B Testing for Recommender Systems	2018	Alexandre Gilotte Clément Calauzènes Thomas Nedelec Alexandre Abraham Simon Dollé	1
+	Off-Policy Evaluation and Learning for External Validity under a Covariate Shift	2020	Masatoshi Uehara Masahiro Kato Shota Yasui	1
+ PDF Chat	Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation	2020	Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita	1
+	Benchmarks for Deep Off-Policy Evaluation	2021	Justin Fu Mohammad Norouzi Ofir Nachum George Tucker ziyu wang Alexander Novikov Mengjiao Yang Michael R. Zhang Yutian Chen Aviral Kumar	1
+	A Neural Conversational Model	2015	Oriol Vinyals Quoc V. Le	1
+	Neural Machine Translation in Linear Time	2016	Nal Kalchbrenner Lasse Espeholt Karen Simonyan Aäron van den Oord Alex Graves Koray Kavukcuoglu	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	1