ml4co_kit.solver.graph.isco

ISCO (Improved Sampling Algorithm for Combinatorial Optimization)

Classes

ISCOSolver(isco_init_type, isco_tau, ...)

DISCS: https://github.com/google-research/discs Current Version: aa8c12281a790fb36e98b32cc52279041b107f4a Last Update: 2026-05-26 @article{ goshvadi2023discs, title={Discs: a benchmark for discrete sampling}, author={Goshvadi, Katayoon and Sun, Haoran and Liu, Xingchao and Nova, Azade and Zhang, Ruqi and Grathwohl, Will and Schuurmans, Dale and Dai, Hanjun}, journal={Advances in Neural Information Processing Systems}, volume={36}, pages={79035--79066}, year={2023} } @inproceedings{ sun2023revisiting, title={Revisiting sampling for combinatorial optimization}, author={Sun, Haoran and Goshvadi, Katayoon and Nova, Azade and Schuurmans, Dale and Dai, Hanjun}, booktitle={International Conference on Machine Learning}, pages={32859--32874}, year={2023}, organization={PMLR} }

class ml4co_kit.solver.graph.isco.ISCOSolver(isco_init_type: str = 'uniform', isco_tau: float = 0.5, isco_mu_init: float = 5.0, isco_g_func: ~typing.Callable[[~numpy.ndarray], ~numpy.ndarray] = <function ISCOSolver.<lambda>>, isco_adapt_mu: bool = True, isco_target_accept_rate: float = 0.574, isco_alpha: float = 0.3, isco_beta: float = 1.002, isco_iterations: int = 10000, isco_seed: int = 1234, optimizer: ~ml4co_kit.optimizer.base.OptimizerBase = None)

Bases: SolverBase

DISCS: https://github.com/google-research/discs Current Version: aa8c12281a790fb36e98b32cc52279041b107f4a Last Update: 2026-05-26 @article{

goshvadi2023discs, title={Discs: a benchmark for discrete sampling}, author={Goshvadi, Katayoon and Sun, Haoran and Liu, Xingchao and Nova, Azade and Zhang, Ruqi and Grathwohl, Will and Schuurmans, Dale and Dai, Hanjun}, journal={Advances in Neural Information Processing Systems}, volume={36}, pages={79035–79066}, year={2023}

} @inproceedings{

sun2023revisiting, title={Revisiting sampling for combinatorial optimization}, author={Sun, Haoran and Goshvadi, Katayoon and Nova, Azade and Schuurmans, Dale and Dai, Hanjun}, booktitle={International Conference on Machine Learning}, pages={32859–32874}, year={2023}, organization={PMLR}

}