The empirical likelihood approach to quantifying uncertainty in sample average approximation

von Lam, Henry
Veröffentlicht in Operations research letters (2017)

Gradient-based adaptive stochastic search for simulation optimization over continuous space

von Zhou, Enlu
Veröffentlicht in Institute for Operations Research and the Management Sciences INFORMS journal on computing (2018)

Bayesian Risk Markov Decision Processes

von Lin, Yifan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 23 of 50 (2023)

Domination measure : a new metric for solving multiobjective optimization

von Hale, Joshua Q.
Veröffentlicht in Institute for Operations Research and the Management Sciences INFORMS journal on computing (2020)

BAYESIAN OPTIMIZATION OF RISK MEASURES

von Cakmak, Sait
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

TOWARDS UNDERSTANDING THE IMPORTANCE OF SHORTCUT CONNECTIONS IN RESIDUAL NETWORKS

von Liu, Tianyi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Simulating complex service systems : proceedings of the 2016 Winter Simulation Conference$dDecember 11-14, 2016, Crystal Gateway Marriot, Arlington, Virginia

Veröffentlicht 2016