End-to-End Stochastic Optimization with Energy-Based Model

End-to-End Stochastic Optimization with Energy-Based Model

25 November 2022

Lingkai Kong

Rui Feng

Papers citing "End-to-End Stochastic Optimization with Energy-Based Model"

11 / 11 papers shown

Title
Differentiable Distributionally Robust Optimization Layers Xutao Ma Chao Ning Wenli Du 48 3 0 24 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 25 0 0 05 Jun 2024
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 41 1 0 02 Jun 2024
Learning Deterministic Surrogates for Robust Convex QCQPs Egon Persak Miguel F. Anjos 26 2 0 19 Dec 2023
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning Wangkun Xu Jianhong Wang Fei Teng 17 4 0 17 Dec 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 23 11 0 10 Sep 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 36 1 0 11 Aug 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 45 83 0 17 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 27 9 0 14 Jun 2023
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 47 103 0 24 Aug 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015