9 citations · 14 across the 18 of their papers we have counts for
19 papers
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…
Fuk-Nagaev inequality in smooth Banach spaces: Optimum bounds for distributions of heavy-tailed martingales
Mattes Mollenhauer, Christian Fiedler
We derive a Fuk-Nagaev inequality for the maxima of norms of martingale sequences in smooth Banach spaces which allow for a finite number of higher conditional moments. The bound i…
Towards optimal control of ensembles of discrete-time systems
Christian Fiedler, Alessandro Scagliotti
The control of ensembles of dynamical systems is an intriguing and challenging problem, arising for example in quantum control. We initiate the investigation of optimal control of…