determinantal point process

Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs COLING 2020 Diverse Trajectory Forecasting with Determinantal Point Processes ICLR 2020 Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 Extractive Financial Narrative Summarisation based on DPPs COLING 2020 k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes IJCAI 2020 MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Online MAP Inference of Determinantal Point Processes NeurIPS 2020 On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes ICML 2020 On the Relationship Between Probabilistic Circuits and Determinantal Point Processes UAI 2020 Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020 Probabilistic Time Series Forecasting with Shape and Temporal Diversity NeurIPS 2020 Sampling from a k-DPP without looking at all items NeurIPS 2020 Testing Determinantal Point Processes NeurIPS 2020 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ICML 2019 A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ICML 2019 Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm ICML 2019 Determinantal Point Processes for Coresets JMLR 2019 DppNet: Approximating Determinantal Point Processes with Deep Networks NeurIPS 2019 DPPy: DPP Sampling with Python JMLR 2019 Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019 Exact sampling of determinantal point processes with sublinear time preprocessing NeurIPS 2019 Fast determinantal point processes via distortion-free intermediate sampling COLT 2019