bayesian inference

Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021 Generalizing to the Open World: Deep Visual Odometry With Online Adaptation CVPR 2021 Geometric convergence of elliptical slice sampling ICML 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NeurIPS 2021 HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021 HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 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 Identifying Norms from Observation Using MCMC Sampling IJCAI 2021 Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NeurIPS 2021 Impression learning: Online representation learning with synaptic plasticity NeurIPS 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021 Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models Interspeech 2021 Joint Inference for Neural Network Depth and Dropout Regularization NeurIPS 2021 Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory ICLR 2021 Learning local modules in dynamic networks L4DC 2021 Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021 Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos ICCV 2021 Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021 Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021 Marginalised Gaussian Processes with Nested Sampling NeurIPS 2021 MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021 Measure Transport with Kernel Stein Discrepancy AISTATS 2021 Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021