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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021 Tighter Risk Certificates for Neural Networks JMLR 2021 Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021 Tractable Regularization of Probabilistic Circuits NeurIPS 2021 Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021 Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021 Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021 Truncated Marginal Neural Ratio Estimation NeurIPS 2021 Trusted Multi-View Classification ICLR 2021 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 Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 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 Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CoRL 2021