Preprints
- Can RLHF Be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang, Bingcong Li, Christoph Dann, Niao He
[paper]
Conference Papers
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He. ICLR 2025
[paper] [code]Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li, Liang Zhang, Niao He. NeurIPS 2024
[paper] [code]DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang, Bingcong Li, Kiran K. Thekumparampil, Sewoong Oh, Niao He. ICML 2024
[paper] [code]Enhancing Sharpness-Aware Optimization through Variance Suppression
Bingcong Li, Georgios B. Giannakis. NeurIPS 2023
[paper] [code]Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang, Bingcong Li, Shijian Gao, and Georgios B. Giannakis. AAAI 2023
[paper] [code]Heavy Ball Momentum for Conditional Gradient
Bingcong Li, Alireza Sadeghi, Georgios B. Giannakis. NeurIPS 2021
[paper] [slides] [code]Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao. AAAI 2021
[paper] [slides] [code]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
[paper] [slides]Almost Tune-Free Variance Reduction
Bingcong Li, Lingda Wang, Georgios B. Giannakis. ICML 2020
[paper]On the Convergence of SARAH and Beyond
Bingcong Li, Meng Ma, Georgios B. Giannakis. AISTATS 2020
[paper]Bandit Online Learning with Unknown Delays
Bingcong Li, Tianyi Chen, Georgios B. Giannakis. AISTATS 2019
[paper] [slides]Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
Yilang Zhang, Bingcong Li, Georgios B. Giannakis. ICASSP 2025
[paper]Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Yilang Zhang, Bingcong Li, Georgios B. Giannakis. ICASSP 2024
[paper] [code]Conic Descent Redux for Memory-Efficient Optimization
Bingcong Li, and Georgios B. Giannakis. Asilomar 2023
[paper]Frank Wolfe with Averaged Gradients
Yilang Zhang, Bingcong Li, G. Georgios Giannakis. ICASSP 2021
[paper]Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao. ICASSP 2021
[paper]Distributionally Robust Semi-supervised Learning over Graphs
Alireza Sadeghi, Meng Ma, Bingcong Li, Georgios B. Giannakis. ICLR 2021, Workshop on Responsible AI
[paper]Revisit of Estimate Sequence for Accelerated Gradient Method
Bingcong Li, Mario Coutino, and Georgios B. Giannakis. ICASSP 2020
[paper]
Journal Papers
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process
Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
[paper]A multistep Lyapunov approach for finite-time analysis of biased stochastic approximation
Gang Wang, Bingcong Li, Georgios B. Giannakis
IEEE Transactions on Signal Processing, vol. 70, Nov 2021
[paper]A Momentum-Guided Frank-Wolfe Algorithm
Bingcong Li, Mario Coutino, Georgios B. Giannakis, G. Leus
IEEE Transactions on Signal Processing, vol. 69, pp. 3597-3611, June 2021
[paper] [code]Secure Mobile Edge Computing in IoT via Collaborative Online Learning
Bingcong Li, Tianyi Chen, Georgios B. Giannakis
IEEE Transactions on Signal Processing, vol. 67, no. 23, pp. 5922-5935, December 2019
[paper]Real-time Optimal Energy Management with Reduced Battery Capacity Requirements
Bingcong Li, Tianyi Chen, Xin Wang, and Georgios B. Giannakis
IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1928-1938, March 2019
[paper] [slides]