conftrace_

mixture model

262 papers

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Co-occurring keywords

bayesian inference (1907) dirichlet process (132) variational inference (2069) bayesian nonparametrics (270) expectation maximization (255) parameter estimation (274) unsupervised learning (3264) latent variable model (564) markov chain monte carlo (725) probabilistic modeling (852)

Papers

Deep Activation Mixture Model for Speech Recognition INTERSPEECH 2017
AdaGAN: Boosting Generative Models NIPS 2017
Variational Mixtures of Gaussian Processes for Classification IJCAI 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data CVPR 2017
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing INTERSPEECH 2017
Noisy Population Recovery from Unknown Noise COLT 2017
Clustering with Hidden Markov Model on Variable Blocks JMLR 2017
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation CVPR 2017
Learning Mixtures of Plackett-Luce Models ICML 2016
The Power of Adaptivity in Identifying Statistical Alternatives NIPS 2016
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016
Robust, Real-Time 3D Tracking of Multiple Objects With Similar Appearances CVPR 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data JMLR 2016
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016
On Mixtures of Markov Chains NIPS 2016
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016
Estimating Mixture Models via Mixtures of Polynomials NIPS 2015
A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015
Sparse Solutions to Nonnegative Linear Systems and Applications AISTATS 2015
Distributed Inference for Dirichlet Process Mixture Models ICML 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015