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Nonparametric Bayesian

86 directly classified papers

Papers per year

Papers

Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
Scale-Invariant Infinite Hierarchical Topic Model ACL 2023
Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022
Thinned random measures for sparse graphs with overlapping communities NIPS 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019
Scalable inference of topic evolution via models for latent geometric structures NIPS 2019
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NIPS 2019
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Rectangular Bounding Process NIPS 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017
YASS: Yet Another Spike Sorter NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017
Flexible Models for Microclustering with Application to Entity Resolution NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
Infinite Factorial Dynamical Model NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014