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Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management., , and . CAP, page 183-184. PUG, (2005)Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms., , and . CoRR, (2014)Lessons from the AdKDD'21 Privacy-Preserving ML Challenge., , , , , , , , and . WWW, page 2026-2035. ACM, (2022)Advertising Campaigns Management: Should We Be Greedy?, , , and . ICDM, page 821-826. IEEE Computer Society, (2010)Basket Completion with Multi-task Determinantal Point Processes., , and . CoRR, (2018)Ensemble Feature Ranking., , , , and . PKDD, volume 3202 of Lecture Notes in Computer Science, page 267-278. Springer, (2004)Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 172-180. JMLR.org, (2014)End-to-end optimization of goal-driven and visually grounded dialogue systems., , , , , and . IJCAI, page 2765-2771. ijcai.org, (2017)Parallel Higher Order Alternating Least Square for Tensor Recommender System., , and . AAAI Workshops, volume WS-17 of AAAI Technical Report, AAAI Press, (2017)Modulating early visual processing by language., , , , , and . NIPS, page 6594-6604. (2017)