Mar 19, 2021 · In this paper, we propose the QROSS method, in which we build surrogate models of QUBO solvers via learning from solver data on a collection of ...

QROSS then proposes promising relaxation parameters using the surrogate model on new instances, effectively reducing the number of calls to QUBO solver. The ...

In this paper, we propose the QROSS method, in which we build surrogate models of QUBO solvers via learning from solver data on a collection of instances of a ...

The QROSS method, in which surrogate models of QUBO solvers are built via learning from solver data on a collection of instances of a problem, is proposed, ...

A more sophisticated tuning approach which takes into account past results to find the best hyperparameter values is Tree-structured Parzen Estimator (TPE), ...

Duration: 9:42
Posted: Sep 20, 2021

QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates ... In this way, we are able capture the common structure of the instances and their ...

Feb 9, 2023 · Black Box Optimization Using QUBO and the Cross Entropy Method. 3 ... Qubo relaxation parameter optimisation via learning solver surrogates.

QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates pp. 35-40. AI-based Robust Convex Relaxations for Supporting Diverse QoS in Next ...