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Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data., , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1733-1742. PMLR, (2019)pmwd: A Differentiable Cosmological Particle-Mesh $N$-body Library, , , , , , , , , and . (2022)cite arxiv:2211.09958Comment: repo at https://github.com/eelregit/pmwd.Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4067-4077. PMLR, (2020)SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design., , , and . CoRR, (2020)Compressed Sensing in the Presence of Speckle Noise., , and . IEEE Trans. Inf. Theory, 68 (10): 6964-6980 (2022)Compressed sensing in the presence of speckle noise., , and . CoRR, (2021)Towards theoretically-founded learning-based denoising., and . ISIT, page 2714-2718. IEEE, (2019)Compressibility and Generalization in Large-Scale Deep Learning., , , , and . CoRR, (2018)Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach, , , , and . International Conference on Learning Representations, (2019)Deep Learning for Automatic Detection of Recurrent Retinal Detachment after Surgery Using Ultra-Widefield Fundus Images: A Single-Center Study., , , , , , , , , and 4 other author(s). Adv. Intell. Syst., (2022)