Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis von Abe, Keita, Ishimura, Gakushi, Baba, Shinya, Yasui, Shota, Nakamura, Kosuke

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Correction: Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis von Abe, Keita, Ishimura, Gakushi, Baba, Shinya, Yasui, Shota, Nakamura, Kosuke

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Estimating heterogeneous treatment effects of content recommendation using machine learning in ABEMA von UTO, Shingo, YASUI, Shota

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Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis von ABE, KEITA, ISHIMURA, GAKUSHI, BABA, SHINYA, YASUI, SHOTA, NAKAMURA, KOSUKE

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The Challenges and Opportunities of Verifying the Causal Effects of Advertising von Yasui, Shota

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Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction von Byambadalai, Undral, Oka, Tatsushi, Yasui, Shota

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Learning Classifiers under Delayed Feedback with a Time Window Assumption von Kato, Masahiro, Yasui, Shota

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The cyclicality in Norwegian farmed atlantic salmon market : the approach of cobweb model von Yasui, Shota

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Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials von Oka, Tatsushi, Yasui, Shota, Hayakawa, Yuta, Byambadalai, Undral

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Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models von Saito, Yuta, Yasui, Shota

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時系列分析による新型コロナウイルス感染症の産地魚価への影響評価 von 阿部, 景太, 石村, 学志, 馬場, 真哉, 安井, 翔太, 中村, 洸介

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Learning Classifiers under Delayed Feedback with a Time Window Assumption von Kato, Masahiro, Yasui, Shota

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Debiased Off-Policy Evaluation for Recommendation Systems von Narita, Yusuke, Yasui, Shota, Yata, Kohei

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Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data von Kato, Masahiro, Wu, Shuting, Kureishi, Kodai, Yasui, Shota

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The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy von Kato, Masahiro, Yasui, Shota, McAlinn, Kenichiro

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Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction von Byambadalai, Undral, Oka, Tatsushi, Yasui, Shota

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Off-Policy Evaluation and Learning for External Validity under a Covariate Shift von Kato, Masahiro, Uehara, Masatoshi, Yasui, Shota

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Learning Causal Models from Conditional Moment Restrictions by Importance Weighting von Kato, Masahiro, Imaizumi, Masaaki, McAlinn, Kenichiro, Kakehi, Haruo, Yasui, Shota

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Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models von Saito, Yuta, Yasui, Shota

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Dual Learning Algorithm for Delayed Conversions von Saito, Yuta, Morishita, Gota, Yasui, Shota

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