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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

The Importance of Calibration for Estimating Proportions from Annotations NAACL 2018
Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data IJCAI 2018
Discrete model-based clustering with overlapping subsets of attributes PGM 2018
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018
Bayesian RL for Goal-Only Rewards CORL 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Gaussian Mixture Latent Vector Grammars ACL 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Efficient Localized Inference for Large Graphical Models IJCAI 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference JMLR 2018
Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach ACML 2018
Supervised I-vector Modeling - Theory and Applications INTERSPEECH 2018
On Nesting Monte Carlo Estimators ICML 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning NIPS 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018