Fang Kong

Orcid: 0000-0002-8148-8911

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Fang Kong authored at least 12 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization.
Trans. Mach. Learn. Res., 2024

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
Proceedings of the ACM on Web Conference 2024, 2024

Sequential Optimum Test with Multi-armed Bandits for Online Experimentation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Player-optimal Stable Regret for Bandit Learning in Matching Markets.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Stochastic No-regret Learning for General Games with Variance Reduction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Online Influence Maximization under Decreasing Cascade Model.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Thompson Sampling for Bandit Learning in Matching Markets.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback.
Proceedings of the International Conference on Machine Learning, 2022

2021
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Online Influence Maximization under Linear Threshold Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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