most citedMonte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series

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cs.LG2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Haoxuan Li, Chunyuan Zheng, Sihao Ding +4

Selection bias in recommender system arises from the recommendation process of system filtering and the interactive process of user selection. Many previous studies have focused on…

cs.LG2021★ 2 cited

Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series

Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis +1

Learning generative models and inferring latent trajectories have shown to be challenging for time series due to the intractable marginal likelihoods of flexible generative models.…