Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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142
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164
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276
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Papers (including subtopics)
HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model
ACL 2023
Improved dimension dependence of a proximal algorithm for sampling
COLT 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
ICML 2023
Improving multiple-try Metropolis with local balancing
JMLR 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
JMLR 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
JMLR 2023
Input uncertainty propagation through trained neural networks
ICML 2023
Integrating Random Effects in Deep Neural Networks
JMLR 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
NeurIPS 2023
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
NeurIPS 2023
Interpreting Sentiment Composition with Latent Semantic Tree
ACL 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
JMLR 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
AAAI 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs
AISTATS 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
NeurIPS 2023
Kalman Bayesian Neural Networks for Closed-Form Online Learning
AAAI 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
NeurIPS 2023
Knowledge Graph Embedding by Normalizing Flows
AAAI 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories
ACL 2023
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry
AAAI 2023
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs
EMNLP 2023