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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023
BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
Thompson Sampling with Diffusion Generative Prior ICML 2023
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors WACV 2023
On Sampling with Approximate Transport Maps ICML 2023
Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation WACV 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations WACV 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees ICML 2023
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata IJCAI 2023
Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Seq-UPS: Sequential Uncertainty-Aware Pseudo-Label Selection for Semi-Supervised Text Recognition WACV 2023
HyperPosePDF - Hypernetworks Predicting the Probability Distribution on SO(3) WACV 2023
A Kernelized Stein Discrepancy for Biological Sequences ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
State and parameter learning with PARIS particle Gibbs ICML 2023
Bayesian Estimation of Differential Privacy ICML 2023
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023