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Two-temperature logistic regression based on the Tsallis divergence., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2388-2396. PMLR, (2019)Layerwise Bregman Representation Learning with Applications to Knowledge Distillation., , , and . CoRR, (2022)Harnessing Simulation for Molecular Embeddings., , , , and . CoRR, (2023)Robust Bi-Tempered Logistic Loss Based on Bregman Divergences., , , and . NeurIPS, page 14987-14996. (2019)A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons., , and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 219-234. Springer, (2015)Divergence-Based Motivation for Online EM and Combining Hidden Variable Models., and . UAI, volume 124 of Proceedings of Machine Learning Research, page 81-90. AUAI Press, (2020)Heterogeneous Federated Learning Using Knowledge Codistillation., , , , , and . CoRR, (2023)The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs., , , and . CoRR, (2023)Learning from straggler clients in federated learning., , , , , , and . CoRR, (2024)An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint., and . AAAI, page 3179-3186. AAAI Press, (2020)