Bayesian & Probabilistic

Highly Efficient Structural Learning of Sparse Staged Trees PGM 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface ICLR 2022 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection ICML 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 Improved analysis for a proximal algorithm for sampling COLT 2022 Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NeurIPS 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022 Improving Variational Autoencoders with Density Gap-based Regularization NeurIPS 2022 Incomplete Argumentation Frameworks: Properties and Complexity AAAI 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 Independence Testing for Bounded Degree Bayesian Networks NeurIPS 2022 Inference and Sampling for Archimax Copulas NeurIPS 2022 Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases ACL 2022 Infinite-Fidelity Coregionalization for Physical Simulation NeurIPS 2022 Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022