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Probabilistic Modeling

2,599 papers

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Papers

Robust Principal Component Analysis with Complex Noise ICML 2014
Exchangeable Variable Models ICML 2014
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014
Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014
Putting MRFs on a Tensor Train ICML 2014
Sparse meta-Gaussian information bottleneck ICML 2014
Hierarchical Dirichlet Scaling Process ICML 2014
Latent Confusion Analysis by Normalized Gamma Construction ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
Inferning with High Girth Graphical Models ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Probabilistic Partial Canonical Correlation Analysis ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Beta Diffusion Trees ICML 2014
A Compilation Target for Probabilistic Programming Languages ICML 2014
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014
A reversible infinite HMM using normalised random measures ICML 2014
A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014