Bayesian Inference

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022 Joint Entropy Search For Maximally-Informed Bayesian Optimization NeurIPS 2022 Joint Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2022 Joint Estimation of Direction-of-Arrival and Distance for Arrays with Directional Sensors based on Sparse Bayesian Learning Interspeech 2022 Kernel Interpolation with Sparse Grids NeurIPS 2022 Knowledge-Aware Bayesian Deep Topic Model NeurIPS 2022 Knowledge Distillation via Constrained Variational Inference AAAI 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022 L0-Sparse Canonical Correlation Analysis ICLR 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Laplace approximated Gaussian process state-space models UAI 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AutoML 2022 Last Layer Marginal Likelihood for Invariance Learning AISTATS 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Learning Bayesian Networks in the Presence of Structural Side Information AAAI 2022 Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022 Learning Cluster Causal Diagrams: An Information-Theoretic Approach IJCAI 2022 Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets ICLR 2022 Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022 Learning Disentangled Representations of Negation and Uncertainty ACL 2022 Learning Domain Adaptive Object Detection with Probabilistic Teacher ICML 2022 Learning from Stochastically Revealed Preference NeurIPS 2022 Learning Interpretable BEV Based VIO without Deep Neural Networks CoRL 2022 Learning invariant weights in neural networks UAI 2022 Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022