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Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.

, , , , , and . Mach. Learn., 110 (9): 2603-2640 (2021)

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Low-Rank and Sparse Multi-task Learning., , and . Low-Rank and Sparse Modeling for Visual Analysis, Springer, (2014)Embedded sparse representation of fMRI data via group-wise dictionary optimization., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841K. SPIE, (2016)Robust multi-task feature learning., , and . KDD, page 895-903. ACM, (2012)Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation., , , , , and . KDD, page 617-626. ACM, (2015)Object Detection in 20 Years: A Survey., , , and . CoRR, (2019)Scaling SVM and Least Absolute Deviations via Exact Data Reduction., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 523-531. JMLR.org, (2014)BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification., , , , and . KDD, page 99-108. ACM, (2015)Deep convolutional neural networks for annotating gene expression patterns in the mouse brain., , , , and . BMC Bioinform., (2015)Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics., , , , , , and . CoRR, (2017)Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework., , , and . IEEE Trans. Knowl. Data Eng., 34 (5): 2280-2292 (2022)