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General Session

General Session » GS-2 Machine learning

[2D5-GS-2] Machine learning: Statistical learning

Wed. May 29, 2024 3:30 PM - 5:10 PM Room D (Temporary room 2)

座長：高橋大志（日本電信電話株式会社）

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3:30 PM - 3:50 PM

[2D5-GS-2-01] Direct Estimation of Distributional Treatment Effects Based on f-divergence and Its Interpretability

〇Koki Yashiro¹, Koh Takeuchi¹, Hisashi Kashima¹ (1. Kyoto University)

3:50 PM - 4:10 PM

[2D5-GS-2-02] Dynamic Feature Selection Using Features of Features

〇Takahashi Katsumi¹, Koh Takeuchi¹, Hisashi Kashima¹ (1. Kyoto University)

4:10 PM - 4:30 PM

[2D5-GS-2-03] Accounting for directional outliers in robust gradient descent

〇Kosuke Nakatani¹, Matthew J. Holland¹ (1. Osaka university)

4:30 PM - 4:50 PM

[2D5-GS-2-04] Adversarial Nuisance for Causal Effect Estimation

〇Akria Tanimoto¹ (1. NEC)

4:50 PM - 5:10 PM

[2D5-GS-2-05] Simultaneous estimation of Conditional Quantile Treatment Effects

〇Kohsuke Uno¹, Koh Takeuchi¹, Hisashi Kashima¹ (1. Kyoto University)

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