Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
We present a new approach to the old problem of adding side effects to purely functional languages. Our idea is to extend the language with "witnesses," which is based o...
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
tic analysis tools based on abstraction are sound but not complete. Several practical static analysis tools are heuristic in nature —they are neither sound nor complete, but have...
Abstract. Refinement plays a crucial role in "top-down" styles of verification, such as the refinement calculus, but for probabilistic systems proof of refinement is a pa...