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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NIPS 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NIPS 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NIPS 2023
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NIPS 2023
Should We Learn Most Likely Functions or Parameters? NIPS 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Riemannian Laplace approximations for Bayesian neural networks NIPS 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NIPS 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NIPS 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions NIPS 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NIPS 2023
Uncertainty Quantification via Neural Posterior Principal Components NIPS 2023
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint NIPS 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval NIPS 2023
An improved variational approximate posterior for the deep Wishart process UAI 2023
Graph classification Gaussian processes via spectral features UAI 2023
Bayesian numerical integration with neural networks UAI 2023
Fairness-aware class imbalanced learning on multiple subgroups UAI 2023