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Ban, Yikun
11 publications
TMLR
2026
Bi-Level Hierarchical Neural Contextual Bandits for Online Recommendation
Yunzhe Qi
,
Yao Zhou
,
Yikun Ban
,
Allan Stewart
,
Chuanwei Ruan
,
Jiachuan He
,
Shishir Kumar Prasad
,
Haixun Wang
,
Jingrui He
NeurIPS
2025
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization
Zixuan Huang
,
Yikun Ban
,
Lean Fu
,
Xiaojie Li
,
Zhongxiang Dai
,
Jianxin Li
,
Deqing Wang
NeurIPS
2025
Transformer Copilot: Learning from the Mistake Log in LLM Fine-Tuning
Jiaru Zou
,
Yikun Ban
,
Zihao Li
,
Yunzhe Qi
,
Ruizhong Qiu
,
Ling Yang
,
Jingrui He
ICLR
2024
Contextual Bandits with Online Neural Regression
Rohan Deb
,
Yikun Ban
,
Shiliang Zuo
,
Jingrui He
,
Arindam Banerjee
ICLR
2024
Neural Active Learning Beyond Bandits
Yikun Ban
,
Ishika Agarwal
,
Ziwei Wu
,
Yada Zhu
,
Kommy Weldemariam
,
Hanghang Tong
,
Jingrui He
NeurIPS
2024
PageRank Bandits for Link Prediction
Yikun Ban
,
Jiaru Zou
,
Zihao Li
,
Yunzhe Qi
,
Dongqi Fu
,
Jian Kang
,
Hanghang Tong
,
Jingrui He
NeurIPS
2024
Robust Neural Contextual Bandit Against Adversarial Corruptions
Yunzhe Qi
,
Yikun Ban
,
Arindam Banerjee
,
Jingrui He
NeurIPS
2023
Meta-Learning with Neural Bandit Scheduler
Yunzhe Qi
,
Yikun Ban
,
Tianxin Wei
,
Jiaru Zou
,
Huaxiu Yao
,
Jingrui He
ICLR
2022
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban
,
Yuchen Yan
,
Arindam Banerjee
,
Jingrui He
NeurIPS
2022
Improved Algorithms for Neural Active Learning
Yikun Ban
,
Yuheng Zhang
,
Hanghang Tong
,
Arindam Banerjee
,
Jingrui He
AAAI
2021
Dynamic Knowledge Graph Alignment
Yuchen Yan
,
Lihui Liu
,
Yikun Ban
,
Baoyu Jing
,
Hanghang Tong