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Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.

, , , , and . ICML, icml.cc / Omnipress, (2012)

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Adaptive Monte Carlo via Bandit Allocation., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1944-1952. JMLR.org, (2014)Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations., , , , and . ICML, icml.cc / Omnipress, (2012)Efficient approximate thompson sampling for search query recommendation., , , and . SAC, page 740-746. ACM, (2015)Autonomous geocaching: navigation and goal finding in outdoor domains., , , , , and . AAMAS (1), page 47-54. IFAAMAS, (2008)Learning predictive state representations using non-blind policies., , , , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 129-136. ACM, (2006)Maximum margin clustering, , , and . Advances in Neural Information Processing Systems 17, page 1537--1544. MIT Press, (2005)Variance Reduction via Antithetic Markov Chains., , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Challenges and approaches to privacy preserving post-click conversion prediction., , , , , , , and . CoRR, (2022)An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction., , , , and . RecSys, page 613-619. ACM, (2021)