Bayesian Inference
1,087 papers
Papers per year
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63
58
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27
48
52
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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