Fred Roosta
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| title | conference | date |
|---|---|---|
| How Randomized Analysis Can Help Us Do “Data Science:” Examples in Deep Learning and Graph Analysis | Randomized Numerical Linear Algebra and Applications 2018 | 2018-09-24 |
Randomized analysis shows that with common random initializations, deep feedforward nets map different inputs to nearly the same representation: the angle… | ||
| Stochastic Second Order Optimization Methods I | Foundations of Data Science Boot Camp 2018 | 2018-08-27 |
Covers using subsampled Newton methods for finite-sum empirical risk: form a sub-sampled Hessian and solve the positive-definite linear system approximately… | ||
| Stochastic Second Order Optimization Methods II | Foundations of Data Science Boot Camp 2018 | 2018-08-27 |
Survey of practical stochastic second‑order methods claims that limited‑memory BFGS and Hessian‑vector products make curvature usable at scale, that subsampled… | ||
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