bayesian inference

Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021 Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021 Multi-resolution modeling of a discrete stochastic process identifies causes of cancer ICLR 2021 Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021 Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021 Neural Posterior Domain Randomization CoRL 2021 Nonparametric Hamiltonian Monte Carlo ICML 2021 Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021 Parallel tempering on optimized paths ICML 2021 Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021 PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception AAAI 2021 Physics-aware, probabilistic model order reduction with guaranteed stability ICLR 2021 Posterior Meta-Replay for Continual Learning NeurIPS 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Probabilistic Programs with Stochastic Conditioning ICML 2021 Probabilistic Tensor Decomposition of Neural Population Spiking Activity NeurIPS 2021