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Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts.

, , , , and . Distributed Ledger Technol. Res. Pract., 3 (1): 2:1-2:19 (March 2024)

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The asymptotic spectrum of the Hessian of DNN throughout training., , and . ICLR, OpenReview.net, (2020)Scaling description of generalization with number of parameters in deep learning., , , , , , , , and . CoRR, (2019)Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets., , , , and . CoRR, (2021)Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts., , , , and . Distributed Ledger Technol. Res. Pract., 3 (1): 2:1-2:19 (March 2024)Kernel Alignment Risk Estimator: Risk Prediction from Training Data., , , , and . NeurIPS, (2020)Neural tangent kernel: convergence and generalization in neural networks (invited paper)., , and . STOC, page 6. ACM, (2021)Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity., , , and . NeurIPS, (2022)Implicit Regularization of Random Feature Models., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4631-4640. PMLR, (2020)Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization., , , , and . CoRR, (2021)Neural Tangent Kernel: Convergence and Generalization in Neural Networks., , and . NeurIPS, page 8580-8589. (2018)