No-regret Algorithms for Capturing Events in Poisson Point Processes

                      Mojmír Mutn 1 Andreas Krause 1

             Abstract                over the sensed domain. In particular, we assume the rate
   Inhomogeneous Poisson point processes are          function can be modeled as a member of a reproducing
   widely used models of event occurrences. We         kernel Hilbert space (RKHS) with a known kernel k.
   address adaptive sensing of Poisson Point pro-       As a runnin ...