probabilistic modeling

The Effect of Combination Functions on the Complexity of Relational Bayesian Networks PGM 2016 Tractable Operations for Arithmetic Circuits of Probabilistic Models NeurIPS 2016 Understanding Probabilistic Sparse Gaussian Process Approximations NeurIPS 2016 Variational Inference in Mixed Probabilistic Submodular Models NeurIPS 2016 A Gaussian Process Latent Variable Model for BRDF Inference ICCV 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 A Topic Modeling Approach to Ranking AISTATS 2015 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 Classifier Adaptation at Prediction Time CVPR 2015 Copula variational inference NeurIPS 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NeurIPS 2015 Group Membership Prediction ICCV 2015 Harmonic Exponential Families on Manifolds ICML 2015 Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 On Theoretical Properties of Sum-Product Networks AISTATS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Reified Context Models ICML 2015 Rent3D: Floor-Plan Priors for Monocular Layout Estimation CVPR 2015 Semantically-Aware Aerial Reconstruction From Multi-Modal Data ICCV 2015 The Libra Toolkit for Probabilistic Models JMLR 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Unsupervised Learning by Program Synthesis NeurIPS 2015