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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Poisson Variational Autoencoder NIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Precise Model Benchmarking with Only a Few Observations EMNLP 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Learning Diffusion Priors from Observations by Expectation Maximization NIPS 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024
Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024