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Scalable Neural Network Kernels.

, , , , и . CoRR, (2023)

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Anshul Dubey

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A Nonparametric Mixture Model for Topic Modeling over Time., , , и . SDM, стр. 530-538. SIAM, (2013)Personalized Survival Prediction with Contextual Explanation Networks., , и . CoRR, (2018)Diversity in ranking via resistive graph centers., , и . KDD, стр. 78-86. ACM, (2011)Large-scale randomized-coordinate descent methods with non-separable linear constraints., , , , и . UAI, стр. 762-771. AUAI Press, (2015)Bayesian Nonparametric Kernel-Learning., , , , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1078-1086. JMLR.org, (2016)FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features., , , , , и . CoRR, (2023)Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers., , , , , , и . CoRR, (2024)Estimating Accuracy from Unlabeled Data: A Bayesian Approach., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1416-1425. JMLR.org, (2016)Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models., , и . ICML (1), том 28 из JMLR Workshop and Conference Proceedings, стр. 98-106. JMLR.org, (2013)Enhancing Group Fairness in Online Settings Using Oblique Decision Forests., , , , , , и . CoRR, (2023)