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Bayesian Inference

1,087 papers

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Papers

Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract) AAAI 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation CVPR 2021 Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings AAAI 2021 Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning ICLR 2021 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NeurIPS 2021 Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021 Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling UAI 2021 Fine-Grained Zero-Shot Learning with DNA as Side Information NeurIPS 2021 Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ICLR 2021 Geometric convergence of elliptical slice sampling ICML 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates ICLR 2021 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NeurIPS 2021 HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models NeurIPS 2021 Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NeurIPS 2021 MOTS: Minimax Optimal Thompson Sampling ICML 2021 Nonparametric Hamiltonian Monte Carlo ICML 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021 On the Suboptimality of Thompson Sampling in High Dimensions NeurIPS 2021