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 ...

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

A Multi-Tenant Framework for Cloud Container Services. 68 views ; QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates. 94 views ; VPN- ...

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