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A Survey on Bayesian Nonparametric Learning

https://doi.org/10.1145/3291044
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Outgoing claims: the papers this work cites, builds on, or argues with.

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The Infinite Hidden Markov Random Field Model
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Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes
inferredcites →https://doi.org/10.1109/tpami.2013.191openalex-snapshot
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
inferredcites →https://doi.org/10.1109/tpami.2013.201openalex-snapshot
Bayesian Nonparametric Models for Multiway Data Analysis
inferredcites →https://doi.org/10.1109/tpami.2013.211openalex-snapshot
Negative Binomial Process Count and Mixture Modeling
inferredcites →https://doi.org/10.1109/tpami.2013.224openalex-snapshot
A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models
inferredcites →https://doi.org/10.1109/tpami.2013.239openalex-snapshot
Background Subtraction with DirichletProcess Mixture Models
inferredcites →https://doi.org/10.1109/tpami.2014.2313115openalex-snapshot
Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering
inferredcites →https://doi.org/10.1109/tpami.2014.2313122openalex-snapshot
Latent IBP Compound Dirichlet Allocation
inferredcites →https://doi.org/10.1109/tpami.2014.2313127openalex-snapshot
Differential Topic Models
inferredcites →https://doi.org/10.1109/tpami.2014.2315802openalex-snapshot
The Supervised Hierarchical Dirichlet Process
inferredcites →https://doi.org/10.1109/tpami.2014.2318721openalex-snapshot
Combinatorial Clustering and the Beta Negative Binomial Process
inferredcites →https://doi.org/10.1109/tpami.2014.2318728openalex-snapshot
Nested Hierarchical Dirichlet Processes
inferredcites →https://doi.org/10.1109/tpami.2014.2321387openalex-snapshot
Distance Dependent Infinite Latent Feature Models
inferredcites →https://doi.org/10.1109/tpami.2014.2324586openalex-snapshot
Relational Learning and Network Modelling Using Infinite Latent Attribute Models
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Unsupervised Many-to-Many Object Matching for Relational Data
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Bayesian Nonparametric Reward Learning From Demonstration
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A New Estimator of the Discovery Probability
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Sparse Graphs Using Exchangeable Random Measures
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Transfer Topic Modeling with Ease and Scalability
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Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
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Hierarchical Dirichlet Processes
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Beta Processes, Stick-Breaking and Power Laws
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Bayesian nonparametric inference
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Nonlinear Models Using Dirichlet Process Mixtures
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Beta Process Sparse Nonnegative Matrix Factorization For Music.
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Stochastic variational inference
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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