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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)

Concrete Dropout NIPS 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NIPS 2017
ES-LDA: Entity Summarization using Knowledge-based Topic Modeling IJCNLP 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Factorial Modeling for Effective Suppression of Directional Noise INTERSPEECH 2017
Most Probable Explanations for Probabilistic Database Queries IJCAI 2017
A Functional Dynamic Boltzmann Machine IJCAI 2017
Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017
Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CORL 2017
Efficient Inference for Untied MLNs IJCAI 2017
Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017
Filtering Variational Objectives NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Hierarchical Methods of Moments NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Probabilistic Temporal Subspace Clustering CVPR 2017
A Network Framework for Noisy Label Aggregation in Social Media ACL 2017
Post-Inference Prior Swapping ICML 2017
Perturbative Black Box Variational Inference NIPS 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017
Scalable Variational Inference for Dynamical Systems NIPS 2017