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Bayesian Inference

1,087 papers

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Papers

Robust Bayesian and Light Neural Networks for Voice Spoofing Detection Interspeech 2019 Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019 Stochastic Optimal Control as Approximate Input Inference CoRL 2019 That’s Mine! Learning Ownership Relations and Norms for Robots AAAI 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling ICLR 2019 Variational Inference from Ranked Samples with Features ACML 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Bayesian Network Structure Learning with Side Constraints PGM 2018 Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus IJCAI 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth AISTATS 2018 Making Continuous Time Bayesian Networks More Flexible PGM 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018