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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Statistical field theory for Markov decision processes under uncertainty JMLR 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Bayesian-Inspired Space-Time Superpixels ICCV 2025
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025
New Compilation Languages Based on Restricted Weak Decomposability AAAI 2025
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract) IJCAI 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Continual learning with the neural tangent ensemble NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Poisson Variational Autoencoder NIPS 2024