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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Tractable Learning for Complex Probability Queries NIPS 2015
Rethinking LDA: Moment Matching for Discrete ICA NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Lifted Symmetry Detection and Breaking for MAP Inference NIPS 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015
Fixed-point algorithms for learning determinantal point processes ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Bayesian Multiple Target Localization ICML 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Class-prior Estimation for Learning from Positive and Unlabeled Data ACML 2015
Expectation Propagation for Rectified Linear Poisson Regression ACML 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Probabilistic Appearance Models for Segmentation and Classification ICCV 2015
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015