Bayesian Inference

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach AAAI 2023 Credal Marginal MAP NeurIPS 2023 c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023 Deep Gaussian mixture ensembles UAI 2023 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 DeePMOS: Deep Posterior Mean-Opinion-Score of Speech Interspeech 2023 Deep Recurrent Optimal Stopping NeurIPS 2023 Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery ICML 2023 Deep Variational Implicit Processes ICLR 2023 Denoising MCMC for Accelerating Diffusion-Based Generative Models ICML 2023 Derandomized novelty detection with FDR control via conformal e-values NeurIPS 2023 Deriving Language Models from Masked Language Models ACL 2023 Design Amortization for Bayesian Optimal Experimental Design AAAI 2023 Dexterous Functional Grasping CoRL 2023 Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NeurIPS 2023 Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs NeurIPS 2023 Differentiable user models UAI 2023 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 Differentially Private Statistical Inference through β-Divergence One Posterior Sampling NeurIPS 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data NeurIPS 2023 Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing AAAI 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023