Shan, Liren

10 publications

COLT 2025 Computing High-Dimensional Confidence Sets for Arbitrary Distributions Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan

NeurIPS 2025 Dynamic Algorithm for Explainable $k$-Medians Clustering Under $\ell_p$ Norm Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

AAAI 2025 LiD-FL: Towards List-Decodable Federated Learning Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv

ICML 2025 Volume Optimality in Conformal Prediction with Structured Prediction Sets Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan

COLT 2023 Optimal Scoring Rules for Multi-Dimensional Effort Jason D. Hartline, Liren Shan, Yingkai Li, Yifan Wu

NeurIPS 2023 Random Cuts Are Optimal for Explainable K-Medians Konstantin Makarychev, Liren Shan

ICML 2021 Near-Optimal Algorithms for Explainable K-Medians and K-Means Konstantin Makarychev, Liren Shan

NeurIPS 2020 Improved Guarantees for K-Means++ and K-Means++ Parallel Konstantin Makarychev, Aravind Reddy, Liren Shan

IJCAI 2018 Biharmonic Distance Related Centrality for Edges in Weighted Networks Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang

IJCAI 2018 Improving Information Centrality of a Node in Complex Networks by Adding Edges Liren Shan, Yuhao Yi, Zhongzhi Zhang