Stefanie Jegelka
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| title | conference | date |
|---|---|---|
| Continuous Methods 1 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Asserts that designing first-order algorithms from continuous dynamics plus conjugate duality yields a mechanical recipe: pick mirror map via conjugate… | ||
| Continuous Methods 2 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Claims that continuous-time gap invariants plus two discretization recipes produce accelerated O(1/T^2) convergence for convex problems, with concrete… | ||
| Continuous Methods 3 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Shows that a submodular set function has a convex continuous extension via the Lovász extension and a dual base polytope whose linear optimization costs O(n… | ||
| Continuous Methods 4 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Compares two greedy online algorithms — sequential greedy (Frank‑Wolfe/forward Euler style) and simultaneous greedy (implicit/backward update) — and proves… | ||
| Submodularity: Theory and Applications I | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Defines submodularity as diminishing marginal gains and claims a practical recipe: convert a set function to the Lovász extension (a convex, piecewise‑linear… | ||
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