 |
 A Faster Sampler for Discrete Determinantal Point ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Sparsification of the regularized magnetic Laplacian with multi-type
spanning forestsApplied and Computational Harmonic Analysis (ACHA), 2022 |
 Lazy and Fast Greedy MAP Inference for Determinantal Point ProcessNeural Information Processing Systems (NeurIPS), 2022 |
 Hardness of Maximum Likelihood Learning of DPPsAnnual Conference Computational Learning Theory (COLT), 2022 |
 Scalable Sampling for Nonsymmetric Determinantal Point ProcessesInternational Conference on Learning Representations (ICLR), 2022 |
 Exact sampling of determinantal point processes with sublinear time
preprocessingNeural Information Processing Systems (NeurIPS), 2019 |
 Nyström landmark sampling and regularized Christoffel functionsMachine-mediated learning (ML), 2019 |
