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- Mingyuan Zhou, Haojun Chen, +6 authors Lawrence Carin
- IEEE Transactions on Image Processing
- 2012

Nonparametric Bayesian methods are considered for recovery of imagery based upon compressive, incomplete, and/or noisy measurements. A truncated beta-Bernoulli process is employed to infer an… (More)

Non-parametric Bayesian techniques are considered for learning dictionaries for sparse image representations, with applications in denoising, inpainting and compressive sensing (CS). The beta process… (More)

- Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin
- AISTATS
- 2012

A beta-negative binomial (BNB) process is proposed, leading to a beta-gamma-Poisson process, which may be viewed as a “multiscoop” generalization of the beta-Bernoulli process. The BNB process is… (More)

- Mingyuan Zhou
- AISTATS
- 2015

A hierarchical gamma process infinite edge partition model is proposed to factorize the binary adjacency matrix of an unweighted undirected relational network under a Bernoulli-Poisson link. The… (More)

- Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
- AISTATS
- 2011

A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features, with covariate-dependent feature usage. The dHBP is… (More)

- Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
- AISTATS
- 2015

A gamma process dynamic Poisson factor analysis model is proposed to factorize a dynamic count matrix, whose columns are sequentially observed count vectors. The model builds a novel Markov chain… (More)

- Xu Chen, Mingyuan Zhou, Lawrence Carin
- KDD
- 2012

A nonparametric Bayesian contextual focused topic model (cFTM) is proposed. The cFTM infers a sparse ("focused") set of topics for each document, while also leveraging contextual information about… (More)

- Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin
- ICML
- 2012

In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal… (More)

- Mingyuan Zhou, Lawrence Carin
- NIPS
- 2012

By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We develop fundamental… (More)

- Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
- ICML
- 2011

A new nonparametric Bayesian model is developed to integrate dictionary learning and topic model into a unified framework. The model is employed to analyze partially annotated images, with the… (More)