Jing Dong

Orcid: 0000-0001-8579-306X

Affiliations:
  • Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China


According to our database1, Jing Dong authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Last-iterate Convergence in Regularized Graphon Mean Field Game.
CoRR, 2024

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback.
CoRR, 2024

Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games.
CoRR, 2023

Online Control with Adversarial Disturbance for Continuous-time Linear Systems.
CoRR, 2023

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Algorithms and Theory for Supervised Gradual Domain Adaptation.
Trans. Mach. Learn. Res., 2022

Online Policy Optimization for Robust MDP.
CoRR, 2022

Combinatorial Bandits under Strategic Manipulations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cascading Bandit Under Differential Privacy.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Incentivizing an Unknown Crowd.
CoRR, 2021

Cascading Bandit under Differential Privacy.
CoRR, 2021


  Loading...