Ming Shi

According to our database, Ming Shi authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Regret Bounds for Reinforcement Learning from Multi-Source Imperfect Preferences.

Ming Shi, Yingbin Liang, Ness B. Shroff, Ananthram Swami

CoRR, March, 2026

Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization.

Linfeng Cao, Ming Shi, Ness B. Shroff

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Power-of-2-Arms for Adversarial Bandit Learning With Switching Costs.

Ming Shi, Xiaojun Lin, Lei Jiao

IEEE Trans. Netw., 2025

Online Learning for Optimizing AoI-Energy Tradeoff under Unknown Channel Statistics.

Mohamed A. Abd-Elmagid, Ming Shi, Eylem Ekici, Ness B. Shroff

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces.

Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi, Fatemeh Nourzad, Eylem Ekici, Ness B. Shroff

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Designing Near-Optimal Partially Observable Reinforcement Learning.

Ming Shi, Yingbin Liang, Ness B. Shroff

Proceedings of the IEEE Military Communications Conference, 2024

2023

Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information.

Ming Shi, Yingbin Liang, Ness B. Shroff

CoRR, 2023

A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints.

Ming Shi, Yingbin Liang, Ness B. Shroff

Proceedings of the International Conference on Machine Learning, 2023

Near-Optimal Adversarial Reinforcement Learning with Switching Costs.

Ming Shi, Yingbin Liang, Ness B. Shroff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Power-of-2-arms for bandit learning with switching costs.

Ming Shi, Xiaojun Lin, Lei Jiao

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.

Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

Competitive Online Convex Optimization With Switching Costs and Ramp Constraints.

Ming Shi, Xiaojun Lin, Sonia Fahmy

IEEE/ACM Trans. Netw., 2021

Combining Regularization with Look-Ahead for Competitive Online Convex Optimization.

Ming Shi, Xiaojun Lin, Lei Jiao

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2019

On the Value of Look-Ahead in Competitive Online Convex Optimization.

Ming Shi, Xiaojun Lin, Lei Jiao

Proc. ACM Meas. Anal. Comput. Syst., 2019

2018

Competitive Online Convex Optimization with Switching Costs and Ramp Constraints.

Ming Shi, Xiaojun Lin, Sonia Fahmy, Dong-Hoon Shin

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018