Search Results for author: Nicolas Emmenegger

Found 2 papers, 1 papers with code

Anytime Model Selection in Linear Bandits

1 code implementation NeurIPS 2023 Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano

This allows us to develop ALEXP, which has an exponentially improved ($\log M$) dependence on $M$ for its regret.

Model Selection

On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization

no code implementations8 Mar 2021 Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan

We prove lower bounds for higher-order methods in smooth non-convex finite-sum optimization.

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