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Showing results 1 to 4 of 4

1
APPROXIMATING SPECTRAL SUMS OF LARGE-SCALE MATRICES USING STOCHASTIC CHEBYSHEV APPROXIMATIONS

Han, Insu; Malioutov, Dmitry; Avron, Haim; Shin, Jinwoo, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.4, pp.A1558 - A1585, 2017

2
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix

Han, Insu; Avron, Haim; Shin, Jinwoo, Thirty-seventh International Conference on Machine Learning, ICML 2020, pp.3942 - 3951, International Conference on Machine Learning, 2020-07-15

3
Scaling Neural Tangent Kernels via Sketching and Random Features

Zandieh, Amir; Han, Insu; Avron, Haim; Shoham, Neta; Kim, Chaewon; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07

4
Stochastic Chebyshev Gradient Descent for Spectral Optimization

Han, Insu; Avron, Haim; Shin, Jinwoo, 32nd Conference on Neural Information Processing Systems (NIPS), Neural Information Processing Systems Foundation, 2018-12-06

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