Simple and fast algorithm for binary integer and online linear programming X Li, C Sun, Y Ye
Advances in Neural Information Processing Systems 33, 9412-9421, 2020
25 2020 The symmetry between arms and knapsacks: A primal-dual approach for bandits with knapsacks X Li, C Sun, Y Ye
International Conference on Machine Learning, 6483-6492, 2021
24 * 2021 Solving Linear Programs with Fast Online Learning Algorithms W Gao, D Ge, C Sun, Y Ye
5 * 2023 Predict-then-calibrate: A new perspective of robust contextual LP C Sun, L Liu, X Li
Advances in Neural Information Processing Systems 36, 2024
4 2024 Learning to make adherence-aware advice G Chen, X Li, C Sun, H Wang
arXiv preprint arXiv:2310.00817, 2023
4 2023 Maximum optimality margin: A unified approach for contextual linear programming and inverse linear programming C Sun, S Liu, X Li
International Conference on Machine Learning, 32886-32912, 2023
4 2023 Simple and fast algorithm for binary integer and online linear programming X Li, C Sun, Y Ye
Mathematical Programming 200 (2), 831-875, 2023
3 2023 Learning from stochastically revealed preference J Birge, X Li, C Sun
Advances in Neural Information Processing Systems 35, 35061-35071, 2022
3 2022 An Adaptive State Aggregation Algorithm for Markov Decision Processes G Chen, JD Gaebler, M Peng, C Sun, Y Ye
arXiv preprint arXiv:2107.11053, 2021
3 2021 When No-Rejection Learning is Optimal for Regression with Rejection X Li, S Liu, C Sun, H Wang
arXiv preprint arXiv:2307.02932, 2023
2 2023 Stochastic inverse optimization JR Birge, X Li, C Sun
Working paper, 2022
2 2022 When No-Rejection Learning is Consistent for Regression with Rejection X Li, S Liu, C Sun, H Wang
International Conference on Artificial Intelligence and Statistics, 1126-1134, 2024
2024 Decoupling Learning and Decision-Making: Breaking the Barrier in Online Resource Allocation with First-Order Methods W Gao, C Sun, C Xue, D Ge, Y Ye
arXiv preprint arXiv:2402.07108, 2024
2024