bayesian inference

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 3D Backscatter Localization for Fine-Grained Robotics NSDI 2019 A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Accelerate CNN via Recursive Bayesian Pruning ICCV 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 Adaptive Gaussian Copula ABC AISTATS 2019 Adaptive MCMC via Combining Local Samplers AISTATS 2019 Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity AISTATS 2019 Adding Constraints to Bayesian Inverse Problems AAAI 2019 AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling NeurIPS 2019 A Generalization Bound for Online Variational Inference ACML 2019 A Generative Adversarial Density Estimator CVPR 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 Amortized Bayesian Meta-Learning ICLR 2019 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics ACL 2019 A neurally plausible model for online recognition and postdiction in a dynamical environment NeurIPS 2019 A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019 Approximate Inference Turns Deep Networks into Gaussian Processes NeurIPS 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019 Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019