Search Results for author: Xiaotian Lu

Found 4 papers, 2 papers with code

Estimating Treatment Effects Under Heterogeneous Interference

1 code implementation25 Sep 2023 Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima

One popular application of this estimation lies in the prediction of the impact of a treatment (e. g., a promotion) on an outcome (e. g., sales) of a particular unit (e. g., an item), known as the individual treatment effect (ITE).

Decision Making

Taming Small-sample Bias in Low-budget Active Learning

no code implementations19 Jun 2023 Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou

Instead of tuning the coefficient for each query round, which is sensitive and time-consuming, we propose the curriculum Firth bias reduction (CHAIN) that can automatically adjust the coefficient to be adaptive to the training process.

Active Learning

Crowdsourcing Evaluation of Saliency-based XAI Methods

no code implementations27 Jun 2021 Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

In order to compare various saliency-based XAI methods quantitatively, several approaches for automated evaluation schemes have been proposed; however, there is no guarantee that such automated evaluation metrics correctly evaluate explainability, and a high rating by an automated evaluation scheme does not necessarily mean a high explainability for humans.

Explainable Artificial Intelligence (XAI)

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