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Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6873-6947. PMLR, (2023)

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Regularity bounds for a Gevrey criterion in a kernel-based regularization of the Cauchy problem of elliptic equations., and . Appl. Math. Lett., (2017)Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6873-6947. PMLR, (2023)A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support., , , , and . CoRR, (2021)Calculus rules for proximal ε-subdifferentials and inexact proximity operators for weakly convex functions., , , and . ECC, page 1-8. IEEE, (2023)Expected Improvement for Contextual Bandits., , , , , and . NeurIPS, (2022)Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces., , , , and . NeurIPS, (2020)Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 8715-8737. PMLR, (2022)NeuralBO: A black-box optimization algorithm using deep neural networks., , and . Neurocomputing, (November 2023)Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization., , , and . AAAI, page 2425-2432. AAAI Press, (2020)