bayesian inference

A Multi-Hypothesis Approach to Color Constancy CVPR 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent NeurIPS 2020 Asymptotically Optimal Exact Minibatch Metropolis-Hastings NeurIPS 2020 A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020 A Unified View of Label Shift Estimation NeurIPS 2020 Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models AISTATS 2020 Automatic Reparameterisation of Probabilistic Programs ICML 2020 Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Bayesian Attention Modules NeurIPS 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 Bayesian Closed Surface Fitting Through Tensor Products JMLR 2020 Bayesian Differential Privacy for Machine Learning ICML 2020 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 Bayesian joint state and parameter tracking in autoregressive models L4DC 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Bayesian Multi-type Mean Field Multi-agent Imitation Learning NeurIPS 2020 Bayesian Online Prediction of Change Points UAI 2020 Bayesian Pseudocoresets NeurIPS 2020 Bayesian Robust Optimization for Imitation Learning NeurIPS 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 BayReL: Bayesian Relational Learning for Multi-omics Data Integration NeurIPS 2020 Being Bayesian about Categorical Probability ICML 2020 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020