Bayesian & Probabilistic

Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Order-Independent Constraint-Based Causal Structure Learning JMLR 2014 Ordinal Random Fields for Recommender Systems ACML 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 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 Polya-gamma augmentations for factor models ACML 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Probabilistic Differential Dynamic Programming NeurIPS 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 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 Putting MRFs on a Tensor Train ICML 2014 Rectangular Tiling Process ICML 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014