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Chunlin Sun
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Year
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
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
242020
Predict-then-calibrate: A new perspective of robust contextual LP
C Sun, L Liu, X Li
Advances in Neural Information Processing Systems 36, 2024
42024
Learning to make adherence-aware advice
G Chen, X Li, C Sun, H Wang
arXiv preprint arXiv:2310.00817, 2023
42023
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
42023
Solving Linear Programs with Fast Online Learning Algorithms
W Gao, D Ge, C Sun, Y Ye
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
32023
Learning from stochastically revealed preference
J Birge, X Li, C Sun
Advances in Neural Information Processing Systems 35, 35061-35071, 2022
32022
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
32021
When No-Rejection Learning is Optimal for Regression with Rejection
X Li, S Liu, C Sun, H Wang
arXiv preprint arXiv:2307.02932, 2023
22023
Stochastic inverse optimization
JR Birge, X Li, C Sun
Working paper, 2022
22022
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
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Articles 1–13