Probabilistic Modeling

Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Parsing World's Skylines using Shape-Constrained MRFs CVPR 2014 PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014 PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction CVPR 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 Putting MRFs on a Tensor Train ICML 2014 Rectangular Tiling Process ICML 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media CVPR 2014 Sensory Integration and Density Estimation NeurIPS 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014