Bayesian Inference
6,267 papers
Papers per year
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Papers
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
AISTATS 2024
Linear Uncertainty Quantification of Graphical Model Inference
NeurIPS 2024
Listening to the noise: Blind Denoising with Gibbs Diffusion
ICML 2024
Logistic Variational Bayes Revisited
ICML 2024
Long-tailed Diffusion Models with Oriented Calibration
ICLR 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization
AISTATS 2024
Low Degree Hardness for Broadcasting on Trees
NeurIPS 2024
Lower Bounds on the Bayesian Risk via Information Measures
JMLR 2024
Low-rank Variational Bayes correction to the Laplace method
JMLR 2024
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
ICML 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
MAP- and MLE-Based Teaching
JMLR 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
AAAI 2024
Marginal Causal Flows for Validation and Inference
NeurIPS 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
NeurIPS 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
JMLR 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
JMLR 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
ICML 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
EMNLP 2024
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
ICML 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
AISTATS 2024
MINDE: Mutual Information Neural Diffusion Estimation
ICLR 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
AISTATS 2024