Preprints
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles
Yifan Hu, Jie Wang, Xin Chen, Niao He.
Regularization for Adversarial Robust Learning [Slides]
Jie Wang, Rui Gao, Yao Xie. (Winner of the 18th INFORMS DMDA Workshop Best Paper Competition Award, 2 out of 57)
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang, March Boedihardjo, Yao Xie. (Runner-up of the INFORMS 2024 Data Mining Best Paper Award Competition)
Variable Selection for Kernel Two-Sample Tests
Jie Wang, Santanu Dey, Yao Xie.
(Selected for Poster Presentation at Mixed Integer Programming (MIP) Workshop 2023)
(Runner-up of the INFORMS 2024 Computing Society (ICS) Student Paper Award)
Training By Vanilla SGD with Larger Learning Rates
Yueyao Yu, Jie Wang, Wenye Li, Yin Zhang.
Journal Articles
Reliable Off-policy Evaluation for Reinforcement Learning
Jie Wang, Rui Gao, Hongyuan Zha. Operations Research
Sinkhorn Distributionally Robust Optimization [Poster with LaTeX Source File] [Slides]
[Experiment Code]
Jie Wang, Rui Gao, Yao Xie. Major Revision at Operations Research
(Winner of 2022 INFORMS Best Poster Award!)
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie. Information and Inference: A Journal of the IMA
On Achievable Rates of Line Networks with Generalized Batched Network Coding
Jie Wang, Shenghao Yang, Yanyan Dong, Yiheng Zhang. IEEE Journal on Selected Areas in Communications
Throughput and Latency Analysis for Line Networks with Outage Links
Yanyan Dong, Shenghao Yang, Jie Wang, Fan Cheng. IEEE Journal on Selected Areas in Information Theory (Conference version accepted by 2024 IEEE International Symposium on Information Theory)
Conference Proceedings
Sparse Degree Optimization for BATS Codes
Hoover H. F. Yin, Jie Wang. 2024 IEEE Information Theory Workshop
Distributionally Robust Degree Optimization for BATS Codes
Hoover H. F. Yin, Jie Wang, Sherman S. M. Chow. 2024 IEEE International Symposium on Information Theory
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
Jie Wang, Rui Gao, Yao Xie. 2024 IEEE International Symposium on Information Theory
Conditional Stochastic Bilevel Optimization
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn. NeurIPS 2023 (Journal version to be submitted to Operations Research)
Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels
Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra. Asilomar 2023
Improving Sepsis Prediction Model Generalization With Optimal Transport
Jie Wang, Ronald Moore, Rishikesan Kamaleswaran, Yao Xie. 2022 Machine Learning for Health (ML4H)
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
Jie Wang, Yao Xie. 2022 IEEE International Symposium on Information Theory (ISIT)
Two-sample Test with Kernel Projected Wasserstein Distance
Jie Wang, Rui Gao, Yao Xie. 2022 Artificial Intelligence and Statistics (AISTATS) (Oral Presentation! Rate: 44/1685=0.026)
Two-sample Test using Projected Wasserstein Distance
Jie Wang, Rui Gao, Yao Xie. 2021 IEEE International Symposium on Information Theory (ISIT)
Small-Sample Inferred Adaptive Recoding for Batched Network Coding
Jie Wang, Zhiyuan Jia, Hoover H. F. Yin, Shenghao Yang. 2021 IEEE International Symposium on Information Theory (ISIT)
Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
Shenghao Yang, Jie Wang. 2020 IEEE International Symposium on Information Theory (ISIT)
On the Capacity Scalability of Line Networks with Buffer Size Constraints
Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang. 2019 IEEE International Symposium on Information Theory (ISIT)
On the Tightness of a Cut-Set Bound on Network Function Computation
Jie Wang, Shenghao Yang, Congduan Li. 2018 IEEE International Symposium on Information Theory (ISIT)
Efficient Underwater Sensor Network Data Collection Employing Unmanned Ships
Jie Wang, Jun Ma, Jianyu Yang, Shenghao Yang. The 14th International Conference on Underwater Networks & Systems (WUWNet’19), At Atlanta, GA, USA (Extended Manuscript)
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