Probabilistic Modeling

Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NeurIPS 2023 Tractable Control for Autoregressive Language Generation ICML 2023 Training Normalizing Flows from Dependent Data ICML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023 Two Views of Constrained Differential Privacy: Belief Revision and Update AAAI 2023 Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NeurIPS 2023 Unbiased learning of deep generative models with structured discrete representations NeurIPS 2023 Uncertain Evidence in Probabilistic Models and Stochastic Simulators ICML 2023 Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023 Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition AISTATS 2023 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023 Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023 Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes ICML 2023 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023 Undirected Probabilistic Model for Tensor Decomposition NeurIPS 2023 Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023 Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic ACL 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Vector-Valued Control Variates ICML 2023 Versatile Energy-Based Probabilistic Models for High Energy Physics NeurIPS 2023 What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022