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Probabilistic Modeling

2591 directly classified papers

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Papers

Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
Structure learning of antiferromagnetic Ising models NIPS 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
A New Approach to Probabilistic Programming Inference AISTATS 2014
A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Concavity of reweighted Kikuchi approximation NIPS 2014
Loopy Belief Propagation in the Presence of Determinism AISTATS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
Stochastic variational inference for hidden Markov models NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Black Box Variational Inference AISTATS 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014