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Bayesian Inference

6,267 papers

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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