Laurent El Ghaoui
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| title | conference | date |
|---|---|---|
| Robustness, Stochastics, Uncertainty 1 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Shows that finite-sample learning guarantees come from concrete optimization tools: Blackwell approachability gives a randomized strategy that matches the… | ||
| Robustness, Stochastics, Uncertainty 2 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Shows that projected SGD and online linear optimization give a deterministic 1/√N regret for bounded gradients and that an adaptive stepsize (Adagrad-style)… | ||
| Robustness, Stochastics, Uncertainty 3 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Gives a practical tour: shows that tiny implementation noise (example cited: 0.001% error breaks feasibility) ruins some linear-program designs, converts… | ||
| Robust Sketching for Large-Scale Multi-Instance Conic Optimization | Semidefinite Optimization, Approximation and Applications 2014 | 2014-09-24 |
Proposes robust sketching: replace data matrix A by a low‑rank approximation à and add an uncertainty ball so solutions remain valid for any A within that… | ||
| nothing matches | ||