determinantal point process

Flexible Modeling of Diversity with Strongly Log-Concave Distributions NeurIPS 2019 GDPP: Learning Diverse Generations using Determinantal Point Processes ICML 2019 Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization ACL 2019 In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes CoNLL 2019 Kernel quadrature with DPPs NeurIPS 2019 Learning Determinantal Point Processes by Corrective Negative Sampling AISTATS 2019 Learning Nonsymmetric Determinantal Point Processes NeurIPS 2019 Markov Properties of Discrete Determinantal Point Processes AISTATS 2019 Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations EMNLP 2019 On two ways to use determinantal point processes for Monte Carlo integration NeurIPS 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019 Exponentiated Strongly Rayleigh Distributions NeurIPS 2018 Fair and Diverse DPP-Based Data Summarization ICML 2018 Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NeurIPS 2018 Learning Determinantal Point Processes in Sublinear Time AISTATS 2018 Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Leveraged volume sampling for linear regression NeurIPS 2018 Maximizing Induced Cardinality Under a Determinantal Point Process NeurIPS 2018 Tagging Like Humans: Diverse and Distinct Image Annotation CVPR 2018 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Continuous DR-submodular Maximization: Structure and Algorithms NeurIPS 2017 Diverse Image Annotation CVPR 2017 Faster Greedy MAP Inference for Determinantal Point Processes ICML 2017 Learning Detection With Diverse Proposals CVPR 2017 Learning Determinantal Point Processes with Moments and Cycles ICML 2017