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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields CVPR 2017
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks CVPR 2017
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017
Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion EACL 2017
A Computational Model of Human Preferences for Pronoun Resolution EACL 2017
Learning the Structure of Variable-Order CRFs: a finite-state perspective EMNLP 2017
Detecting Perspectives in Political Debates EMNLP 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis ICML 2017
Lost Relatives of the Gumbel Trick ICML 2017
On Relaxing Determinism in Arithmetic Circuits ICML 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Random Feature Expansions for Deep Gaussian Processes ICML 2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier ICML 2017
Deep Bayesian Active Learning with Image Data ICML 2017
Local-to-Global Bayesian Network Structure Learning ICML 2017
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017
Grammar Variational Autoencoder ICML 2017
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
Zero-Inflated Exponential Family Embeddings ICML 2017
Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017