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Jie Wang (王捷)
Title
Cited by
Cited by
Year
Sinkhorn distributionally robust optimization
J Wang, R Gao, Y Xie
arXiv preprint arXiv:2109.11926, 2023
362023
Two-sample test using projected wasserstein distance
J Wang, R Gao, Y Xie
2021 IEEE International Symposium on Information Theory (ISIT), 3320-3325, 2021
272021
Reliable off-policy evaluation for reinforcement learning
J Wang, R Gao, H Zha
Operations Research 72 (2), 699-716, 2024
182024
Two-sample Test with Kernel Projected Wasserstein Distance
J Wang, R Gao, Y Xie
arXiv preprint arXiv: 2102.06449v3, 2021
162021
Contextual stochastic bilevel optimization
Y Hu, J Wang, Y Xie, A Krause, D Kuhn
Advances in Neural Information Processing Systems 36, 2024
152024
Small-sample inferred adaptive recoding for batched network coding
J Wang, Z Jia, HHF Yin, S Yang
2021 IEEE International Symposium on Information Theory (ISIT), 1427-1432, 2021
152021
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
J Wang, Y Xie
arXiv preprint arXiv:2202.04258, 2022
132022
A manifold two-sample test study: integral probability metric with neural networks
J Wang, M Chen, T Zhao, W Liao, Y Xie
Information and Inference: A Journal of the IMA 12 (3), 1867-1897, 2023
62023
Variable selection for kernel two-sample tests
J Wang, SS Dey, Y Xie
arXiv preprint arXiv:2302.07415, 2023
62023
Improving sepsis prediction model generalization with optimal transport
J Wang, R Moore, Y Xie, R Kamaleswaran
Machine Learning for Health, 474-488, 2022
62022
Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
S Yang, J Wang
2020 IEEE International Symposium on Information Theory (ISIT), 1629-1634, 2020
62020
On the capacity scalability of line networks with buffer size constraints
S Yang, J Wang, Y Dong, Y Zhang
2019 IEEE International Symposium on Information Theory (ISIT), 1507-1511, 2019
62019
Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels
J Wang, T Bozkus, Y Xie, U Mitra
2023 57th Asilomar Conference on Signals, Systems, and Computers, 220-224, 2023
42023
On the tightness of a cut-set bound on network function computation
J Wang, S Yang, C Li
2018 IEEE International Symposium on Information Theory (ISIT), 1824-1828, 2018
42018
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles
Y Hu, J Wang, X Chen, N He
arXiv preprint arXiv: 2408.11084, 1-61, 2024
32024
Distributionally Robust Degree Optimization for BATS Codes
HHF Yin, J Wang, SSM Chow
arXiv preprint arXiv: 2405.08194, 1-8, 2024
32024
Non-convex robust hypothesis testing using sinkhorn uncertainty sets
J Wang, R Gao, Y Xie
arXiv preprint arXiv:2403.14822, 2024
32024
On Achievable Rates of Line Networks with Generalized Batched Network Coding
J Wang, S Yang, Y Dong, Y Zhang
IEEE Journal on Selected Areas in Communications, 2024
32024
Throughput and Latency Analysis for Line Networks With Outage Links
Y Dong, S Yang, J Wang, F Cheng
IEEE Journal on Selected Areas in Information Theory, 2024
22024
Capacity Scalability of Line Networks with Batched Codes
S Yang, J Wang, Y Dong, Y Zhang
arXiv preprint arXiv: 2105.07669, 2021
22021
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Articles 1–20