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Probabilistic Modeling

2591 directly classified papers

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Papers

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Black Box Variational Inference AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Hierarchical Dirichlet Scaling Process ICML 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Latent Confusion Analysis by Normalized Gamma Construction ICML 2014
Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014
Probabilistic Partial Canonical Correlation Analysis ICML 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014
Fast Allocation of Gaussian Process Experts ICML 2014
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014
A New Approach to Probabilistic Programming Inference AISTATS 2014
Loopy Belief Propagation in the Presence of Determinism AISTATS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
Lifted MAP Inference for Markov Logic Networks AISTATS 2014
On the Testability of Models with Missing Data AISTATS 2014