Conference Papers
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
B.Li, L. Zhang, N. He. NeurIPS 2024
[paper] [code]DPZero: Private Fine-Tuning of Language Models without Backpropagation
L. Zhang, B.Li, K. K. Thekumparampil, S. Oh, N. He. ICML 2024
[paper] [code]Enhancing Sharpness-Aware Optimization through Variance Suppression
B. Li, G. B. Giannakis. NeurIPS 2023
[paper] [code]Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Y. Zhang, B. Li, S. Gao, and G. B. Giannakis. AAAI 2023
[paper] [code]Heavy Ball Momentum for Conditional Gradient
B. Li, A. Sadeghi, G. B. Giannakis. NeurIPS 2021
[paper] [slides] [code]Distributionally Robust Semi-supervised Learning over Graphs
A. Sadeghi, M. Ma, B. Li, G. B. Giannakis. ICLR 2021, Workshop on Responsible AI
[paper]Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
B. Li, L. Wang, G. B. Giannakis, Z. Zhao. AAAI 2021
[paper] [slides] [code]Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
L. Wang, B. Li, H. Zhou, G. B. Giannakis, L. R. Varshney, Z. Zhao. AAAI 2021
[paper] [slides]Almost Tune-Free Variance Reduction
B. Li, L. Wang, G. B. Giannakis. ICML 2020
[paper]On the Convergence of SARAH and Beyond
B. Li, M. Ma, G. B. Giannakis. AISTATS 2020
[paper]Bandit Online Learning with Unknown Delays
B. Li, T. Chen, G. B. Giannakis. AISTATS 2019
[paper] [slides]Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Y. Zhang, B. Li, G. B. Giannakis. ICASSP 2024
[paper] [code]Conic Descent Redux for Memory-Efficient Optimization
B. Li, and G. B. Giannakis. Asilomar 2023
[paper]Frank Wolfe with Averaged Gradients
Y. Zhang, B. Li, G. B. Giannakis. ICASSP 2021
[paper]Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits
L. Wang, H. Zhou, B. Li, L.R. Varshney, Z. Zhao. ICASSP 2021
[paper]Revisit of Estimate Sequence for Accelerated Gradient Method
B. Li, M. Coutino, and G. B. Giannakis. ICASSP 2020
[paper]
Journal Papers
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process
Q. Lu, K. D. Polyzos, B. Li, G. B. Giannakis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
[paper]A multistep Lyapunov approach for finite-time analysis of biased stochastic approximation
G. Wang, B. Li, G. B. Giannakis
IEEE Transactions on Signal Processing, vol. 70, Nov 2021
[paper]A Momentum-Guided Frank-Wolfe Algorithm
B. Li, Mario Coutino, G. 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
B. Li, T. Chen, G. 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
B. Li, T. Chen, X. Wang, and G. B. Giannakis
IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1928-1938, March 2019
[paper] [slides]