Bayesian & Probabilistic

Deep Hierarchy in Bandits ICML 2022 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 Deep Neyman-Scott Processes AISTATS 2022 De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022 Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference NeurIPS 2022 Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022 Differentiable Expectation-Maximization for Set Representation Learning ICLR 2022 Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Discrete Tree Flows via Tree-Structured Permutations ICML 2022 Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation EMNLP 2022 Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs NeurIPS 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022 DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis CVPR 2022 DPSampler: Exact Weighted Sampling Using Dynamic Programming IJCAI 2022 Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination CVPR 2022 Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NeurIPS 2022 Efficient and transferable adversarial examples from bayesian neural networks UAI 2022 Efficient identification of informative features in simulation-based inference NeurIPS 2022 Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022 EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022 Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling ICLR 2022