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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)

Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021
Local policy search with Bayesian optimization NIPS 2021
Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NIPS 2021
Acoustic Event Detection with Classifier Chains INTERSPEECH 2021
Composing Normalizing Flows for Inverse Problems ICML 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NIPS 2021
PSD Representations for Effective Probability Models NIPS 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021
Probabilistic robust linear quadratic regulators with Gaussian processes L4DC 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021
Streaming Belief Propagation for Community Detection NIPS 2021
Efficient Sampling of Dependency Structure EMNLP 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021