nonparametric bayesian

Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 Kronecker-Structured Nonparametric Spatiotemporal Point Processes UAI 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025 Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data UAI 2025 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 Bounded rationality in structured density estimation NeurIPS 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method ACL 2023 Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2023 Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023 Scale-Invariant Infinite Hierarchical Topic Model ACL 2023 Amortized Mixing Coupling Processes for Clustering NeurIPS 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022 Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022 Nonparametric Involutive Markov Chain Monte Carlo ICML 2022 Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 Graph Gamma Process Linear Dynamical Systems AISTATS 2021 Learning Nonparametric Volterra Kernels with Gaussian Processes NeurIPS 2021 Nonparametric Decomposition of Sparse Tensors ICML 2021 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 GaSPing for Utility AAAI 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020