Bayesian Inference

Fully General Online Imitation Learning JMLR 2022 Function-space Inference with Sparse Implicit Processes ICML 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 GATSBI: Generative Adversarial Training for Simulation-Based Inference ICLR 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Gaussian Process Boosting JMLR 2022 Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022 Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications ICML 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NeurIPS 2022 Geometry-Aware Hierarchical Bayesian Learning on Manifolds WACV 2022 Globally Gated Deep Linear Networks NeurIPS 2022 GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models NeurIPS 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Group equivariant neural posterior estimation ICLR 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models NeurIPS 2022 Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022 Hierarchical Bayesian Bandits AISTATS 2022 Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP 2022 Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection AAAI 2022 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022