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dirichlet process

132 papers

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Also known as

DPMM DP

Co-occurring keywords

bayesian nonparametrics (175) bayesian inference (1904) mixture model (262) variational inference (2069) nonparametric bayesian (124) bayesian nonparametric (137) gibbs sampling (201) markov chain monte carlo (724) dirichlet process mixture (24) gaussian process (1198)

Papers

Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator IJCAI 2025
Bayesian-Inspired Space-Time Superpixels ICCV 2025
Continual learning of multi-modal dynamics with external memory L4DC 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations INTERSPEECH 2024
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data JMLR 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution AISTATS 2022
Deep Dirichlet process mixture models UAI 2022
Nonparametric exponential family graph embeddings for multiple representation learning UAI 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
Differentiable Causal Discovery Under Latent Interventions CLEAR 2022
Nonparametric Decomposition of Sparse Tensors ICML 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021