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Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling.

, , and . NIPS, page 4188-4196. (2016)

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Bounds on bilinear inverse forms via Gaussian quadrature with applications., , and . CoRR, (2015)Fast DPP Sampling for Nyström with Application to Kernel Methods., , and . CoRR, (2016)Diversity-inducing probability measures for machine learning.. Massachusetts Institute of Technology, Cambridge, USA, (2019)ndltd.org (oai:dspace.mit.edu:1721.1/121724).Distributional Adversarial Networks., , , , and . ICLR (Workshop), OpenReview.net, (2018)Structured Output Learning with Candidate Labels for Local Parts., , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 336-352. Springer, (2013)Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes., , and . CoRR, (2016)Improving Sequential Determinantal Point Processes for Supervised Video Summarization., , , , and . ECCV (3), volume 11207 of Lecture Notes in Computer Science, page 533-550. Springer, (2018)Batched High-dimensional Bayesian Optimization via Structural Kernel Learning., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3656-3664. PMLR, (2017)Retrosynthesis Prediction with Conditional Graph Logic Network., , , , and . NeurIPS, page 8870-8880. (2019)Group Contextual Encoding for 3D Point Clouds., , , , , and . NeurIPS, (2020)