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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023
Guided Deep Kernel Learning UAI 2023
The Lauritzen-Chen Likelihood For Graphical Models AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023
Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023
Bayesian Estimation of Differential Privacy ICML 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
Bayesian Design Principles for Frequentist Sequential Learning ICML 2023
On the Estimation of Gaussian Mixture Copula Models ICML 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
The Bayesian Learning Rule JMLR 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Vector-Valued Control Variates ICML 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation ICML 2023