Publications
[26] E. Dinan, S. Yaida, and S. Zhang, ''Effective Theory of Transformers at Initialization,'' arXiv:2304.02034 [cs.LG].
[25] S. Yaida, ''Meta-Principled Family of Hyperparameter Scaling Strategies,'' arXiv:2210.04909 [cs.LG].
[24] D. A. Roberts, S. Yaida, and B. Hanin, ''The Principles of Deep Learning Theory,'' Cambridge University Press (2022) [official website; Cambridge; arXiv].
[23] S. Yaida, ''Non-Gaussian processes and neural networks at finite widths,'' Mathematical and Scientific Machine Learning (2020) [Proceedings; arXiv].
[22] J. Hoffman, D. A. Roberts, and S. Yaida, ''Robust learning with Jacobian regularization,'' arXiv:1908.02729 [stat.ML].
[21] S. Yaida, ''Fluctuation-dissipation relations for stochastic gradient descent,'' International Conference on Learning Representations (2019) [OpenReview; arXiv].
[18] G. Palmer and S. Yaida, ''Optimizing collective fieldtaxis of swarming agents through reinforcement learning,'' arXiv:1709.02379 [physics.bio-ph].
[8] A. Adams and S. Yaida, ''Disordered holographic systems: Marginal relevance of imperfection,'' Phys. Rev. D 90, 046007 (2014) [Journal; arXiv].
[7] S. Yaida, ''Point-to-set correlations and instantons,'' arXiv:1311.7142 [cond-mat.dis-nn].
[4] S. Yaida, ''Landscape versus swampland for higher derivative gravity,'' Nucl. Phys. Proc. Suppl. 192-193, 201 (2009) [Journal; arXiv].
[3] M. Brigante, H. Liu, R. C. Myers, S. Shenker, and S. Yaida, ''Viscosity bound and causality violation,'' Phys. Rev. Lett. 100, 191601 (2008) [Journal; arXiv].
[2] M. Brigante, H. Liu, R. C. Myers, S. Shenker, and S. Yaida, ''Viscosity bound violation in higher derivative gravity,'' Phys. Rev. D 77, 126006 (2008) [Journal; arXiv].
[1] D. Marolf and S. Yaida, ''Energy conditions and junction conditions,'' Phys. Rev. D 72, 044016 (2005) [Journal; arXiv].