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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Unsupervised Structure Learning of Stochastic And-Or Grammars NIPS 2013
Fast Determinantal Point Process Sampling with Application to Clustering NIPS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Learning the Local Statistics of Optical Flow NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013
Category-Independent Object-Level Saliency Detection ICCV 2013
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras ICCV 2013
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013
Matrix Completion From any Given Set of Observations NIPS 2013
Linear Approximation to ADMM for MAP inference ACML 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013
Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012
Cocktail Party Processing via Structured Prediction NIPS 2012
Density-Difference Estimation NIPS 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012