9 citations · 14 across the 18 of their papers we have counts for
4 papers · 1 filter
Consensus-based optimization for linearly separable functions
Christian Fiedler, Tim Roith
Consensus-based optimization (CBO) is an efficient metaheuristic for global optimisation with attractive mathematical properties, allowing global convergence results even in non-co…
Reliable sampling-based RKHS norm estimation via superconvergence
Tizian Wenzel, Abdullah Tokmak, Christian Fiedler
Kernel methods are one of the cornerstones of learning-based control, modern system identification, surrogate modelling, and related fields. A key advantage of this class of learni…
The Mean-Field Limit of Online Stochastic Vector Balancing
Christian Fiedler, Joe Jackson, Daniel Lacker +1
We study an online vector balancing problem, in which independent Gaussian random vectors , each of dimension $n…
Statistical Learning Theory for Distributional Classification
Christian Fiedler
In supervised learning with distributional inputs in the two-stage sampling setup, relevant to applications like learning-based medical screening or causal learning, the inputs (wh…