Session WC-5: Recent Advances in Stochastic Optimization in stream Optimization for machine learning
Wednesday, 14:00-16:00Room: B100/4013
| Session chair(s): |
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| 208. Almost sure convergence rates for stochastic gradient methods |
Simon Weissmann
[R] - Germany | accepted | ||
| 233. A Hessian-Aware Stochastic Differential Equation for Modelling SGD |
Xiang Li
[R] - Switzerland | accepted | ||
| 357. Complexity guarantees for risk-neutral generalized Nash equilibrium problems |
Meggie Marschner
[R] - Germany | accepted | ||
| Mathias Staudigl
[R] - Germany | ||||
| 557. Stochastic first-order methods can leverage arbitrarily higher-order smoothness for acceleration |
Chuan He
[R] - Sweden | accepted | ||