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Distributionally-robust Recommendations for Improving Worst-case User Experience.

, , , , , and . WWW, page 3606-3610. ACM, (2022)

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Reward Shaping for User Satisfaction in a REINFORCE Recommender., , , , , , , , , and 3 other author(s). CoRR, (2022)Distributionally-robust Recommendations for Improving Worst-case User Experience., , , , , and . WWW, page 3606-3610. ACM, (2022)Improving Multi-Task Generalization via Regularizing Spurious Correlation., , , , , , and . NeurIPS, (2022)Online Matching: A Real-time Bandit System for Large-scale Recommendations., , , , , , , , and . RecSys, page 403-414. ACM, (2023)Sampling-bias-corrected neural modeling for large corpus item recommendations., , , , , , , , and . RecSys, page 269-277. ACM, (2019)Off-policy Learning in Two-stage Recommender Systems., , , , , , , and . WWW, page 463-473. ACM / IW3C2, (2020)End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms., , , , , , , , , and . WWW, page 2870-2877. ACM / IW3C2, (2020)Self-supervised Learning for Large-scale Item Recommendations., , , , , , , , , and 1 other author(s). CIKM, page 4321-4330. ACM, (2021)Minimax Gaussian Classification & Clustering., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2017)Recommending what video to watch next: a multitask ranking system., , , , , , , , , and . RecSys, page 43-51. ACM, (2019)