Shota Yasui

According to our database1, Shota Yasui authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data.
CoRR, 2023

2022
Learning Classifiers under Delayed Feedback with a Time Window Assumption.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Causal Models from Conditional Moment Restrictions by Importance Weighting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting.
CoRR, 2021

Debiased Off-Policy Evaluation for Recommendation Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
A Practical Guide of Off-Policy Evaluation for Bandit Problems.
CoRR, 2020

Safe Counterfactual Reinforcement Learning.
CoRR, 2020

A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dual Learning Algorithm for Delayed Conversions.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Off-Policy Evaluation and Learning for External Validity under a Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Dual Learning Algorithm for Delayed Feedback in Display Advertising.
CoRR, 2019

Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data.
CoRR, 2019

A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue.
CoRR, 2019

Efficient Counterfactual Learning from Bandit Feedback.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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