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Markovian Sliced Wasserstein Distances: Beyond Independent Projections., , и . CoRR, (2023)Stochastic Multiple Target Sampling Gradient Descent., , , , , и . NeurIPS, (2022)Structured Dropout Variational Inference for Bayesian Neural Networks., , , , , и . NeurIPS, стр. 15188-15202. (2021)Global-Local Regularization Via Distributional Robustness., , , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7644-7664. PMLR, (2023)On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1405-1413. PMLR, (2021)Flow-based Alignment Approaches for Probability Measures in Different Spaces., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3934-3942. PMLR, (2021)On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 896-921. PMLR, (2022)Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions., и . CoRR, (2024)Distributional Sliced-Wasserstein and Applications to Generative Modeling., , , и . ICLR, OpenReview.net, (2021)Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation., , , , , и . ICLR, OpenReview.net, (2024)