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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018 ACL 2018
Gaussian Mixture Latent Vector Grammars ACL 2018
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition CVPR 2018
Probabilistic Boolean Tensor Decomposition ICML 2018
Named Entity Recognition on Code-Switched Data Using Conditional Random Fields ACL 2018
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar CVPR 2018
Provable Gaussian Embedding with One Observation NIPS 2018
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018
A Deep Generative Model of Vowel Formant Typology NAACL 2018
Neural Storyline Extraction Model for Storyline Generation from News Articles NAACL 2018
Deep Dirichlet Multinomial Regression NAACL 2018
Representations of Bayesian networks by low-rank models PGM 2018
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018
Sparse Estimation in Ising Model via Penalized Monte Carlo Methods JMLR 2018
Inference via Low-Dimensional Couplings JMLR 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018
On Semiparametric Exponential Family Graphical Models JMLR 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018
Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference JMLR 2018
On Hapax Legomena and Morphological Productivity EMNLP 2018
Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018