Linear Convergence of Forward-Backward Accelerated Algorithms without Knowledge of the Modulus of Strong Convexity, To appear in SIAM Journal on Optimization, 2024+.
Bowen Li, Bin Shi and Ya-xiang Yuan
The sampling method for optimal precursors of El Niño-Southern Oscillation events, Nonlinear Processes in Geophysics, 31(1):165–174, 2024.
Bin Shi and Junjie Ma
On Learning Rates and Schrödinger Operators, Journal of Machine Learning Research, 24(379):1-53, 2023.
Bin Shi, Weijie Su and Michael I. Jordan
An adjoint-free algorithm for conditional nonlinear optimal perturbations (CNOPs) via sampling, Nonlinear Processes in Geophysics, 30(3):263–276, 2023.
Bin Shi and Guodong Sun
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations, Mathematical Programming, Series A, 195(1):79–148, 2022.
Bin Shi, Simon S. Du, Michael I. Jordan and Weijie Su
Conjugate and Cut Points in Ideal Fluid Motion, Annales Mathématiques du Québec, 46(1):207-225, 2022.
Theodore D. Drivas, Gerard Misiołek, Bin Shi and Tsuyoshi Yoneda
Acceleration via Symplectic Discretization of High-Resolution Differential Equations, Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019).
Bin Shi, Simon S. Du, Weijie J. Su and Michael I. Jordan
Mathematical Theories of Machine Learning - Theory and Applications, Springer International Publishing, 2020.
Bin Shi and Sundaraja S. Iyengar
On the Hyperparameters in Stochastic Gradient Descent with Momentum,
Bin Shi
Journal of Machine Learning Research, 2023+, (Accept after Minor Revision).
Gradient Norm Minimization of Nesterov's Acceleration o(1/k^3),
Shuo Chen, Bin Shi and Ya-xiang Yuan
Optimal Disturbances of Blocking: A Barotropic View,
Bin Shi, Dehai Luo and Wenqi Zhang
Proximal Subgradient Norm Minimization of ISTA and FISTA,
Revisiting the acceleration phenomenon via high-resolution differential equations,
Linear Convergence of ISTA and FISTA,
On Underdamped Nesterov's Acceleration,
Understanding the ADMM Algorithm via High-Resolution Differential Equations,
Bowen Li and Bin Shi
Understanding the PDHG Algorithm via High-Resolution Differential Equations,
A Conservation Law Method in Optimization, The Tenth Workshop on Optimization for Machine Learning, Thirty-first Conference on Neural Information Processing Systems (NeurIPS2017)
Bin Shi, Tao Li and Sundaraja S. Iyengar