Probabilistic Modeling

High level feature fusion in forensic voice comparison Interspeech 2022 Hitting times for continuous-time imprecise-Markov chains UAI 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface ICLR 2022 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences NeurIPS 2022 Identifiability of Linear AMP Chain Graph Models AAAI 2022 Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022 Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Inference and Sampling for Archimax Copulas NeurIPS 2022 Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes CoRL 2022 Infinitely Divisible Noise in the Low Privacy Regime ALT 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022 Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022 Iterative Structural Inference of Directed Graphs NeurIPS 2022 Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022 Kernel Interpolation with Sparse Grids NeurIPS 2022 Language modeling via stochastic processes ICLR 2022 Learning explainable templated graphical models UAI 2022 Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NeurIPS 2022 Learning Inconsistent Preferences with Gaussian Processes AISTATS 2022 Learning interacting dynamical systems with latent Gaussian process ODEs NeurIPS 2022 Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022 Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss CVPR 2022 Learning Structured Gaussians To Approximate Deep Ensembles CVPR 2022