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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)

Residual Sum-Product Networks PGM 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020
Variational Label Enhancement ICML 2020
Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020
Joints in Random Forests NIPS 2020
Stochastic Convolutional Recurrent Networks for Language Modeling INTERSPEECH 2020
Generating Narrative Text in a Switching Dynamical System EMNLP 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes UAI 2020
GOBNILP: Learning Bayesian network structure with integer programming PGM 2020
The Potts-Ising model for discrete multivariate data NIPS 2020
Sampling from a k-DPP without looking at all items NIPS 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020
Spread Divergence ICML 2020
An Empirical Investigation of Contextualized Number Prediction EMNLP 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NIPS 2020
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020
Community-Based Group Graphical Lasso JMLR 2020