Li, Bingcong

19 publications

ICML 2025 Can RLHF Be More Efficient with Imperfect Reward Models? a Policy Coverage Perspective Jiawei Huang, Bingcong Li, Christoph Dann, Niao He
ICLRW 2025 Can RLHF Be More Efficient with Imperfect Reward Models? a Policy Coverage Perspective Jiawei Huang, Bingcong Li, Christoph Dann, Niao He
ICLR 2025 On the Crucial Role of Initialization for Matrix Factorization Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
NeurIPS 2025 PoLAR: Polar-Decomposed Low-Rank Adapter Representation Kai Lion, Liang Zhang, Bingcong Li, Niao He
NeurIPS 2025 RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models Yilang Zhang, Bingcong Li, Georgios B. Giannakis
NeurIPS 2025 Zeroth-Order Optimization Finds Flat Minima Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
ICML 2024 DPZero: Private Fine-Tuning of Language Models Without Backpropagation Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
NeurIPS 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems Bingcong Li, Liang Zhang, Niao He
ICMLW 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems Bingcong Li, Liang Zhang, Niao He
NeurIPSW 2024 On the Crucial Role of Initialization for Matrix Factorization Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
NeurIPS 2023 Enhancing Sharpness-Aware Optimization Through Variance Suppression Bingcong Li, Georgios Giannakis
AAAI 2023 Scalable Bayesian Meta-Learning Through Generalized Implicit Gradients Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis
AAAI 2021 Adversarial Linear Contextual Bandits with Graph-Structured Side Observations Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
AAAI 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
NeurIPS 2021 Heavy Ball Momentum for Conditional Gradient Bingcong Li, Alireza Sadeghi, Georgios Giannakis
ICML 2020 Almost Tune-Free Variance Reduction Bingcong Li, Lingda Wang, Georgios B. Giannakis
ECML-PKDD 2020 Confusable Learning for Large-Class Few-Shot Classification Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
AISTATS 2020 On the Convergence of SARAH and Beyond Bingcong Li, Meng Ma, Georgios B. Giannakis
AISTATS 2019 Bandit Online Learning with Unknown Delays Bingcong Li, Tianyi Chen, Georgios B. Giannakis