conftrace_
← Machine Learning
Machine Learning ›

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
'05
'10
'15
'20
'25

Papers (including subtopics)

Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NIPS 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions EMNLP 2023
Attention as Implicit Structural Inference NIPS 2023
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies AAAI 2023
Bayesian Data Selection JMLR 2023
On the geometry of Stein variational gradient descent JMLR 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023
Bit Allocation using Optimization ICML 2023
NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023
Compositional Score Modeling for Simulation-Based Inference ICML 2023
A Probabilistic Framework for Discovering New Intents ACL 2023
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NIPS 2023
Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023