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Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares.

, and . CoRR, (2014)

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Randomized sketches of convex programs with sharp guarantees., and . ISIT, page 921-925. IEEE, (2014)Iterative Hessian Sketch with Momentum., , and . ICASSP, page 7470-7474. IEEE, (2019)Convex Optimization for Shallow Neural Networks., and . Allerton, page 79-83. IEEE, (2019)Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods., , , and . CoRR, (2020)Randomized sketches for kernels: Fast and optimal non-parametric regression., , and . CoRR, (2015)Randomized Sketches of Convex Programs With Sharp Guarantees., and . IEEE Trans. Inf. Theory, 61 (9): 5096-5115 (2015)Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence., and . SIAM J. Optimization, 27 (1): 205-245 (2017)Revealing the Structure of Deep Neural Networks via Convex Duality., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3004-3014. PMLR, (2021)Training Quantized Neural Networks to Global Optimality via Semidefinite Programming., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 694-704. PMLR, (2021)Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7695-7705. PMLR, (2020)