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bayesian nonparametrics

175 papers

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BNP

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bayesian nonparametric (137) dirichlet process (132) nonparametric bayesian (124) bayesian inference (1904) variational inference (2069) gibbs sampling (201) markov chain monte carlo (724) mixture model (262) indian buffet process (40) gaussian process (1198)

Papers

Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator IJCAI 2025
Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates JMLR 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
Posterior Contraction for Deep Gaussian Process Priors JMLR 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Streaming Inference for Infinite Feature Models ICML 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models AISTATS 2022
Bayesian Nonparametrics for Offline Skill Discovery ICML 2022
Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022
Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021
Efficient online inference for nonparametric mixture models UAI 2021