Bayesian Inference

High-Dimensional Gaussian Process Inference with Derivatives ICML 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021 HNPE: Leveraging Global Parameters for Neural Posterior Estimation NeurIPS 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021 How Certain is Your Transformer? EACL 2021 How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021 Human Pose Regression With Residual Log-Likelihood Estimation ICCV 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 Identifiable Generative models for Missing Not at Random Data Imputation NeurIPS 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identifying Norms from Observation Using MCMC Sampling IJCAI 2021 Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NeurIPS 2021 Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021 Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021 Improved Shrinkage Prediction under a Spiked Covariance Structure JMLR 2021 Improving black-box optimization in VAE latent space using decoder uncertainty NeurIPS 2021 Improving predictions of Bayesian neural nets via local linearization AISTATS 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization UAI 2021 Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021