Bayesian Inference

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021 Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021 Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Model Uncertainty Guides Visual Object Tracking AAAI 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Modular Gaussian Processes for Transfer Learning NeurIPS 2021 Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021 Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Multi-output Gaussian Processes for uncertainty-aware recommender systems UAI 2021 Multi-Receiver Online Bayesian Persuasion ICML 2021 Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021 Natural continual learning: success is a journey, not (just) a destination NeurIPS 2021 Nested Variational Inference NeurIPS 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021 Neural Posterior Domain Randomization CoRL 2021 Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images NeurIPS 2021 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021 Nonparametric Hamiltonian Monte Carlo ICML 2021 No-regret Algorithms for Multi-task Bayesian Optimization AISTATS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021