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Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs.

, , and . CoRR, (2020)

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Spectral Greedy Coresets for Graph Neural Networks., , , and . CoRR, (2024)Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses., , , and . LAK, page 135-144. ACM, (2019)VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization., , , , , , and . NeurIPS, page 6733-6746. (2021)SAIL: Self-Improving Efficient Online Alignment of Large Language Models., , , , , , , and . CoRR, (2024)Transferring Fairness under Distribution Shifts via Fair Consistency Regularization., , , and . NeurIPS, (2022)Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity., , , , and . CoRR, (2024)SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation., , , , and . ICLR, OpenReview.net, (2024)Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs., , and . CoRR, (2020)GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3709-3717. PMLR, (2021)Transfer Learning using Representation Learning in Massive Open Online Courses., , , and . LAK, page 145-154. ACM, (2019)