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White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?, , , , , , , , , and . CoRR, (2023)TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels., , , , and . NeurIPS, (2022)Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 1219-1250. PMLR, (2022)Learning One-hidden-layer ReLU Networks via Gradient Descent., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1524-1534. PMLR, (2019)Scaling White-Box Transformers for Vision., , , , , , and . CoRR, (2024)ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction., , , , , and . CoRR, (2021)Differentially Private Representation Learning via Image Captioning., , , , , , and . CoRR, (2024)Data Poisoning Attacks on Multi-Task Relationship Learning., , , , and . AAAI, page 2628-2635. AAAI Press, (2018)Rethinking Bias-Variance Trade-off for Generalization of Neural Networks., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10767-10777. PMLR, (2020)Predicting Out-of-Distribution Error with the Projection Norm., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25721-25746. PMLR, (2022)