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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)

Localized Zeroth-Order Prompt Optimization NIPS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Streaming Bayes GFlowNets NIPS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Qualitative Mechanism Independence NIPS 2024
Sparse Variational Student-t Processes AAAI 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Efficient Variational Sequential Information Control AISTATS 2024
Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024