Probabilistic Modeling

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions NeurIPS 2021 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CoRL 2021 Uncertain Graph Neural Networks for Facial Action Unit Detection AAAI 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models MLHC 2021 Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs ICLR 2021 Uncertainty Estimation in Autoregressive Structured Prediction ICLR 2021 Uncertainty in Gradient Boosting via Ensembles ICLR 2021 Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021 Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CoRL 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021 Variational Multi-Task Learning with Gumbel-Softmax Priors NeurIPS 2021 Variational Weakly Supervised Sentiment Analysis with Posterior Regularization EACL 2021 VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media NeurIPS 2021 VLGrammar: Grounded Grammar Induction of Vision and Language ICCV 2021 VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization AAAI 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021 When random initializations help: a study of variational inference for community detection JMLR 2021 A Bayesian Nonparametrics View into Deep Representations NeurIPS 2020