# latent variable models

### Implicit Deep Latent Variable Models for Text Generation

**latent**

**variable**

**models**(LVM) such as variational auto-encoder (VAE) have recently played an important role in text ...smooth

**latent**structures to guide the ...implicit

**latent**...

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### Dynamical Binary Latent Variable Models for 3D Human Pose Tracking

**latent**

**variable**mod- els are derived from the Gaussian Process

**Latent**

**Variable**Model [8, 23] and the Gaussian Process Dynamical Model ...Such

**models**can serve as effective ...

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### Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text

**latent**

**variable**

**models**(LVMs) of text, such as

**Latent**Dirichlet Al- location

**models**or Hidden Markov

**Models**(HMMs), are constructed using parallel train- ing ...

6

### Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling

**latent**

**variable**...for

**latent**

**variable**

**models**from a non-canonical exponential family, and draw explicit links between several previously proposed frequentist or Bayesian ...

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### Probabilistic Distributional Semantics with Latent Variable Models

**latent**

**variable**

**models**used here the number of topics or semantic classes, | Z | , must be fixed in ...of

**models**trained with different choices of | Z | ; this avoids the need to ...

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### Latent variable models for binary response data

**latent**

**variable**

**models**, since they involve observable (manifest) variables and not directly observable (

**latent**) variables which corresponds to a case of incomplete data, as defined by ...

356

### Particle methods for maximum likelihood estimation in latent variable models

**latent**

**variable**

**models**rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is different ...

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### Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses

**latent**

**variable**

**models**to neatly summarize and ex- tra information from the irregularly sampled and sparse, while simultaneously sidestepping the issue of jointly modeling both the ...

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### Priors for Diversity in Generative Latent Variable Models

**latent**

**variable**

**models**are one of the cornerstones of machine learn- ...Such

**models**are useful for exploratory analysis and visual- ization, for building density

**models**of ...

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### Building Blocks for Variational Bayesian Learning of Latent Variable Models

**latent**

**variable**

**models**can be constructed from these blocks, including nonlinear and variance

**models**, which are lacking from most existing variational ...various

**models**is easy ...

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### Learning latent variable models : efficient algorithms and applications

**models**able to generate plausible data in challenging contexts exist, and have been object of an increasing interest in the deep learning community during the last few ...These

**models**, called ...

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### Online Tensor Methods for Learning Latent Variable Models

**models**and other ...

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### Robustness in Latent Variable Models

**latent**

**variable**

**models**in the structural measurement error

**models**and joint ...The

**models**we studied cover a wide range of

**latent**-

**variable**

**models**that are ...

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### Latent Variable Models of Selectional Preference

**Latent**

**variable**

**models**that use EM for infer- ence can be very sensitive to the number of

**latent**variables chosen. For example, the performance of ROOTH-EM worsens quickly if the number of ...

10

### Bayesian latent variable models for collaborative item rating prediction

**models**such as Probabilistic

**Latent**Semantic Indexing (pLSI) ...than

**models**that assume each document is only drawn from a single ...to

**models**based on LDA with both the added flexibility ...

10

### Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

**models**we therefore need an alternative argu- ment. Our argument is entirely restricted to Gaussian EP for our extended definition of GLVMs and do not extend to ...

42

### Semi supervised latent variable models for sentence level sentiment analysis

**models**leverage abundant natural super- vision in the form of review ratings, as well as a small amount of manually crafted sentence labels, to learn sentence-level sentiment clas- ...component

**models**...

6

### Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data

**latent**space to the observed ...cess

**latent**

**variable**model (GPLVM) is then evaluated as an approach to the visualisation of high dimensional data for three different ...

8

### Spectral Methods for Learning Latent Variable Models: Unsupervised and Supervised Settings

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### Analysis of the readiness to buy cultural tourism online by means of latent variable models

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