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Faster Greedy MAP Inference for Determinantal Point Processes.

, , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1384-1393. PMLR, (2017)

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MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2797-2807. PMLR, (2020)Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3984-3993. PMLR, (2020)Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations., , , and . CoRR, (2016)Near Optimal Reconstruction of Spherical Harmonic Expansions., , and . CoRR, (2022)Random Gegenbauer Features for Scalable Kernel Methods., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8330-8358. PMLR, (2022)Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8213-8229. PMLR, (2022)Fast Neural Kernel Embeddings for General Activations., , , , , and . NeurIPS, (2022)Optimizing Spectral Sums using Randomized Chebyshev Expansions., , and . CoRR, (2018)Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix., , and . CoRR, (2019)Random Features for the Neural Tangent Kernel., , , , and . CoRR, (2021)