Bayesian Learning
483 papers
Papers per year
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21
18
16
19
21
20
36
31
26
11
19
15
25
26
44
20
35
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Papers
Spatial meshing for general Bayesian multivariate models
JMLR 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
UAI 2024
A theory of representation learning gives a deep generalisation of kernel methods
ICML 2023
Bayesian Federated Learning: A Survey
IJCAI 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
EMNLP 2023
Bayesian Spiked Laplacian Graphs
JMLR 2023
Bayesian Structure Scores for Probabilistic Circuits
AISTATS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection
ACML 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
JMLR 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
JMLR 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
COLT 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
ICML 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
AISTATS 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
AISTATS 2023
Overcoming Prior Misspecification in Online Learning to Rank
AISTATS 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
Prediction-Oriented Bayesian Active Learning
AISTATS 2023
Robust and Adaptive Deep Learning via Bayesian Principles
AAAI 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
AAAI 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
JMLR 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery
ICML 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
ICML 2023
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints
AISTATS 2022