bayesian inference

STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021 System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison Interspeech 2021 The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021 Theoretical bounds on estimation error for meta-learning ICLR 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021 Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021 Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 Trumpets: Injective flows for inference and inverse problems UAI 2021 Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021 Uncertainty-aware sensitivity analysis using Rényi divergences UAI 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Unsupervised Bayesian Adaptation of PLDA for Speaker Verification Interspeech 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021 Variational inference with continuously-indexed normalizing flows UAI 2021 Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play RSS 2020 A Bayesian Perspective on Training Speed and Model Selection NeurIPS 2020 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder Interspeech 2020