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Minimax Gaussian Classification & Clustering., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2017)More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning., , , , and . CoRR, (2019)Better Generalization with Semantic IDs: A case study in Ranking for Recommendations., , , , , , , , , and . CoRR, (2023)Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)., , , , , , , and . CoRR, (2022)Self-supervised Learning for Large-scale Item Recommendations., , , , , , , , , and 1 other author(s). CIKM, page 4321-4330. ACM, (2021)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)Efficient Training on Very Large Corpora via Gramian Estimation., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Recommending what video to watch next: a multitask ranking system., , , , , , , , , and . RecSys, page 43-51. ACM, (2019)Deep Hash Embedding for Large-Vocab Categorical Feature Representations., , , , , , and . CoRR, (2020)