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bayesian nonparametrics

270 papers

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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

Locally Private Causal Inference for Randomized Experiments JMLR 2025
Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator IJCAI 2025
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
Warped Diffusion for Latent Differentiation Inference AISTATS 2024
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates JMLR 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability NIPS 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
Posterior Contraction for Deep Gaussian Process Priors JMLR 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 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
A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022