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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media CVPR 2014
Concavity of reweighted Kikuchi approximation NIPS 2014
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Order-Independent Constraint-Based Causal Structure Learning JMLR 2014
Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014
Hardness of parameter estimation in graphical models NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014