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Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.

, , , and . WWW, page 292-302. ACM / IW3C2, (2020)

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CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models., , , , , and . CVPR, page 9593-9602. Computer Vision Foundation / IEEE, (2021)Debiased Recommendation with User Feature Balancing., , , , , , , , , and . ACM Trans. Inf. Syst., 41 (4): 114:1-114:25 (October 2023)Specify Robust Causal Representation from Mixed Observations., , , , and . KDD, page 2978-2987. ACM, (2023)CausalVAE: Structured Causal Disentanglement in Variational Autoencoder., , , , , and . CoRR, (2020)Causal World Models by Unsupervised Deconfounding of Physical Dynamics., , , , , and . CoRR, (2020)Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games., , , , , , and . CoRR, (2024)Top-N Recommendation with Counterfactual User Preference Simulation., , , , , and . CIKM, page 2342-2351. ACM, (2021)Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank., , , , , , , and . CIKM, page 1004-1013. ACM, (2023)Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation., , , and . WWW, page 292-302. ACM / IW3C2, (2020)Deconfounding Representation Learning Based on User Interactions in Recommendation Systems., , , and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 588-599. Springer, (2021)