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Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations., , , , , , and . CoRR, (2022)Learning Directed Graphical Models with Optimal Transport., , , , , and . CoRR, (2023)Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning., , , and . CoRR, (2023)Log Gaussian Cox Process Networks., , and . CoRR, (2018)Efficient Variational Inference for Gaussian Process Regression Networks., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 472-480. JMLR.org, (2013)Variational Spectral Graph Convolutional Networks., , , and . CoRR, (2019)Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations., , , , and . CoRR, (2020)Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference., , and . CoRR, (2018)Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27060-27074. PMLR, (2022)Transformed Distribution Matching for Missing Value Imputation., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42159-42186. PMLR, (2023)