determinantal point process

TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 Compositional Exemplars for In-context Learning ICML 2023 DPP-TTS: Diversifying prosodic features of speech via determinantal point processes EMNLP 2023 Efficient Failure Pattern Identification of Predictive Algorithms UAI 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023 Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023 On inference and learning with probabilistic generating circuits UAI 2023 Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection ICLR 2023 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Diverse Multi-Answer Retrieval with Determinantal Point Processes COLING 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization COLT 2022 Generating Diverse 3D Reconstructions From a Single Occluded Face Image CVPR 2022 Hardness of Maximum Likelihood Learning of DPPs COLT 2022 Lazy and Fast Greedy MAP Inference for Determinantal Point Process NeurIPS 2022 LDPP at the FinNLP-2022 ERAI Task: Determinantal Point Processes and Variational Auto-encoders for Identifying High-Quality Opinions from a pool of Social Media Posts EMNLP 2022 Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022 Memory Replay with Data Compression for Continual Learning ICLR 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022