Bayesian Inference

Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020 Uncertainty Quantification for Inferring Hawkes Networks NeurIPS 2020 Uncertainty Quantification for Sparse Deep Learning AISTATS 2020 Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks NeurIPS 2020 Understanding the Limitations of Variational Mutual Information Estimators ICLR 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020 Unsupervised Opinion Summarization as Copycat-Review Generation ACL 2020 Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization Interspeech 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020 Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 Variational Bayesian Unlearning NeurIPS 2020 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 Variational Inference for Computational Imaging Inverse Problems JMLR 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020 Variational Label Enhancement ICML 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020