bayesian inference

Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations WACV 2023 Conditional score-based diffusion models for Bayesian inference in infinite dimensions NeurIPS 2023 Constructing a Credible Estimation for Overreporting of Climate Adaptation Funds in the Creditor Reporting System EACL 2023 Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NeurIPS 2023 Differentially Private Statistical Inference through β-Divergence One Posterior Sampling NeurIPS 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023 Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NeurIPS 2023 Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023 Divide-and-Conquer Fusion JMLR 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach ICLR 2023 DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference ICML 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NeurIPS 2023 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NeurIPS 2023 Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023