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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)

Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022
Behavior Priors for Efficient Reinforcement Learning JMLR 2022
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022
Logical Credal Networks NIPS 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
Model inclusion lattice of coloured Gaussian graphical models for paired data PGM 2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022
Tractable Uncertainty for Structure Learning ICML 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding COLING 2022
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022
Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022
Highly Efficient Structural Learning of Sparse Staged Trees PGM 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022