157 citations · 347 across the 19 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 7 cited
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
Tor Lattimore, Csaba Szepesvari
Stochastic linear bandits are a natural and simple generalisation of finite-armed bandits with numerous practical applications. Current approaches focus on generalising existing te…
stat.ML2016★ 12 cited
Multiclass Classification Calibration Functions
Bernardo Ávila Pires, Csaba Szepesvári
In this paper we refine the process of computing calibration functions for a number of multiclass classification surrogate losses. Calibration functions are a powerful tool for eas…
stat.ML2016★ 2 cited
Chaining Bounds for Empirical Risk Minimization
Gábor Balázs, András György, Csaba Szepesvári
This paper extends the standard chaining technique to prove excess risk upper bounds for empirical risk minimization with random design settings even if the magnitude of the noise…