conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach AISTATS 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Precision/Recall on Imbalanced Test Data AISTATS 2023
Semantic Strengthening of Neuro-Symbolic Learning AISTATS 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023
Fisher information lower bounds for sampling ALT 2023
Wide stochastic networks: Gaussian limit and PAC-Bayesian training ALT 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
Uniqueness of BP fixed point for the Potts model and applications to community detection COLT 2023
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023
Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023
PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective CVPR 2023
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation CVPR 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring CVPR 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take CVPR 2023