Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2000
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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