Bayesian & Probabilistic

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023 HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation CVPR 2023 Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NeurIPS 2023 Human spatiotemporal pattern learning as probabilistic program synthesis NeurIPS 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Identification of Nonlinear Latent Hierarchical Models NeurIPS 2023 Implicit Manifold Gaussian Process Regression NeurIPS 2023 Improved Discretization Analysis for Underdamped Langevin Monte Carlo COLT 2023 Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography ICLR 2023 Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method ACL 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023 Inference for probabilistic dependency graphs UAI 2023 Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023 Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 Influence-Aware Attention for Multivariate Temporal Point Processes CLeaR 2023 Input uncertainty propagation through trained neural networks ICML 2023 Interactive Segmentation As Gaussion Process Classification CVPR 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023 It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023 Jana: Jointly amortized neural approximation of complex Bayesian models UAI 2023 Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NeurIPS 2023 Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023