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Bayesian Inference

6,267 papers

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Papers

Private Estimation with Public Data NeurIPS 2022 Privid: Practical, Privacy-Preserving Video Analytics Queries NSDI 2022 Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 Probing as Quantifying Inductive Bias ACL 2022 Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model NeurIPS 2022 Pulling back information geometry AISTATS 2022 QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022 Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison UAI 2022 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 Random Effect Bandits AISTATS 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Rapid Convergence of Informed Importance Tempering AISTATS 2022 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 Reconstruction on Trees and Low-Degree Polynomials NeurIPS 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems Interspeech 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Regret Bounds for Information-Directed Reinforcement Learning NeurIPS 2022 Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability AAAI 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation CVPR 2022