Jia-Qi Yang
Jia-Qi Yang
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Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
Predicting conversion rate (e.g., the probability that a user will purchase an item) is a fundamental problem in machine learning based …
Jiq-Qi Yang (杨嘉祺)
,
De-Chuan Zhan
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RID-Noise: Towards Robust Inverse Design under Noisy Environments
From an engineering perspective, a design should not only perform well in an ideal condition, but should also resist noises. Such a design methodology, namely robust design, has been widely implemented in the industry for product quality control. To achieve data-efficient robust design, we propose Robust Inverse Design under Noise (RID-Noise), which can utilize existing data to train a conditional invertible neural network. With the visual results from experiments, we clearly justify how RID-Noise works by learning the distribution and robustness from data. Further experiments on several real-world benchmark tasks with noises confirm that our method is more effective than other state-of-the-art inverse design methods.
Jiq-Qi Yang (杨嘉祺)
,
Ke-Bin Fan
,
Hao Ma
,
De-Chuan Zhan
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Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
Conversion rate (CVR) prediction is one of the most critical tasks for digital display advertising. However, conversions usually do not happen immediately after a user click. We propose Elapsed-Time Sampling Delayed Feedback Model (ES-DFM), which models the relationship between the observed conversion distribution and the true conversion distribution.
Jiq-Qi Yang (杨嘉祺)
,
Xiang Li
,
Shuguang Han
,
Tao Zhuang
,
De-Chuan Zhan
,
Xiaoyi Zeng
,
Bin Tong
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Poster
Slides
Bottom-Up and Top-Down Graph Pooling
Pooling layers are crucial components for efficient deep representation learning. As to graph data, however, it’s not trivial to decide …
Jiq-Qi Yang (杨嘉祺)
,
De-Chuan Zhan
,
Xin-Chun Li
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Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features
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Xin-Chun Li
,
De-Chuan Zhan
,
Jiq-Qi Yang (杨嘉祺)
,
Yi Shi
,
Cheng Hang
,
Yi Lu
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