Probabilistic Modeling
2,617 papers
Papers per year
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11
3
6
64
62
49
66
100
73
138
153
138
89
118
108
150
159
218
163
180
146
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150
50
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Papers
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles
JMLR 2016
On Mixtures of Markov Chains
NeurIPS 2016
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow
PGM 2016
Optimal Estimation and Completion of Matrices with Biclustering Structures
JMLR 2016
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016
Probabilistic Approaches to the AXB = YCZ Calibration Problem in Multi-Robot Systems
RSS 2016
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity
PGM 2016
Probabilistic Low-Rank Matrix Completion from Quantized Measurements
JMLR 2016
Probabilistic Prototype Model for Serendipitous Property Mining
COLING 2016
Reconstructing Parameters of Spreading Models from Partial Observations
NeurIPS 2016
Regime Aware Learning
PGM 2016
Reintroducing Credal Networks under Epistemic Irrelevance
PGM 2016
Sampling for Bayesian Program Learning
NeurIPS 2016
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling
JMLR 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels
AISTATS 2016
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings
COLING 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
ACML 2016
Spectral Learning of Dynamic Systems from Nonequilibrium Data
NeurIPS 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
JMLR 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies
ICML 2016
Statistical Inference for Pairwise Graphical Models Using Score Matching
NeurIPS 2016
Statistical Matching of Discrete Data by Bayesian Networks
PGM 2016
Stochastic Discrete Clenshaw-Curtis Quadrature
ICML 2016
Structure Learning of Partitioned Markov Networks
ICML 2016