Bayesian Inference

Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception RSS 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Bayesian Distance Clustering JMLR 2021 Bayesian Distributional Policy Gradients AAAI 2021 Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021 Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021 Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021 Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021 Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021 Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Bayesian optimization for modular black-box systems with switching costs UAI 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization over Hybrid Spaces ICML 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Bayesian Optimized Monte Carlo Planning AAAI 2021 Bayesian Parametric and Architectural Domain Adaptation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition Interspeech 2021 Bayesian Persuasion under Ex Ante and Ex Post Constraints AAAI 2021 Bayesian Quadrature on Riemannian Data Manifolds ICML 2021 Bayesian streaming sparse Tucker decomposition UAI 2021 Bayesian Structural Adaptation for Continual Learning ICML 2021 Bayesian Text Classification and Summarization via A Class-Specified Topic Model JMLR 2021 Bayesian time-aligned factor analysis of paired multivariate time series JMLR 2021