Bayesian Inference

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference AAAI 2021 Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Collapsed Variational Bounds for Bayesian Neural Networks NeurIPS 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NeurIPS 2021 Combining pseudo-point and state space approximations for sum-separable Gaussian Processes UAI 2021 Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 Conditioning Sparse Variational Gaussian Processes for Online Decision-making NeurIPS 2021 Conformal Bayesian Computation NeurIPS 2021 Constrained Two-step Look-Ahead Bayesian Optimization NeurIPS 2021 Context-Specific Likelihood Weighting AISTATS 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Continuous Integration over SO(3) for IMU Preintegration RSS 2021 Contraction L1-Adaptive Control using Gaussian Processes L4DC 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Convex Polytope Trees NeurIPS 2021 Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021 Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021 CVAE-based Re-anchoring for Implicit Discourse Relation Classification EMNLP 2021 Dataset Meta-Learning from Kernel Ridge-Regression ICLR 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021