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Bayesian Inference

4821 directly classified papers

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Papers

Deep Recurrent Optimal Stopping NIPS 2023
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs NIPS 2023
Pseudo-Likelihood Inference NIPS 2023
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability NIPS 2023
Conformal Prediction for Time Series with Modern Hopfield Networks NIPS 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds NIPS 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023
Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023
Langevin Diffusion Variational Inference AISTATS 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NIPS 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023
Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation WACV 2023
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors WACV 2023
Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations WACV 2023
Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023
Pointwise sampling uncertainties on the Precision-Recall curve AISTATS 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI AISTATS 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023
Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023