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Monarch: Expressive Structured Matrices for Efficient and Accurate Training.

, , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4690-4721. PMLR, (2022)

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Low-Memory Neural Network Training: A Technical Report., , , , and . CoRR, (2019)Monarch: Expressive Structured Matrices for Efficient and Accurate Training., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4690-4721. PMLR, (2022)Ivy: Instrumental Variable Synthesis for Causal Inference., , , , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 398-410. PMLR, (2020)Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 1894-1938. PMLR, (2020)Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond., , and . CoRR, (2019)BARACK: Partially Supervised Group Robustness With Guarantees., , , , , , and . CoRR, (2022)Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps., , , , , , , and . CoRR, (2020)Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories., , , , , , and . ICCV, page 10685-10694. IEEE, (2021)No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems., , , , and . NeurIPS, (2020)Observational Supervision for Medical Image Classification Using Gaze Data., , , , , , , , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 603-614. Springer, (2021)