Bayesian Learning

Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018 A Bayesian Framework for Learning Rule Sets for Interpretable Classification JMLR 2017 A Birth-Death Process for Feature Allocation ICML 2017 Adaptive Bayesian Sampling with Monte Carlo EM NeurIPS 2017 Aggregating and Predicting Sequence Labels from Crowd Annotations ACL 2017 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017 Averaged Collapsed Variational Bayes Inference JMLR 2017 Bayesian Boolean Matrix Factorisation ICML 2017 Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception RSS 2017 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NeurIPS 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017 Bayesian Optimization with Gradients NeurIPS 2017 Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017 Comparing Strategic Secrecy and Stackelberg Commitment in Security Games IJCAI 2017 Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing Interspeech 2017 Concrete Dropout NeurIPS 2017 Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning IJCAI 2017 Convolutional Gaussian Processes NeurIPS 2017 Deep Bayesian Active Learning with Image Data ICML 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017