肖现涛

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

办公地点:海山楼(大黑楼)B1107

电子邮箱:xtxiao@dlut.edu.cn

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2018年《非线性最优化基础》课程信息

发布时间:2020-10-15   点击次数:

M. Pilanci, M. Wainwright Newton sketch: A near linear-time optimization algorithm with linear-quadratic convergence (10)

M. Gurbuzbalaban, A. Ozdaglar, P. Parrilo On the convergence rate of incremental aggregated gradient algorithms  (1)

P. Richtarik, M. Takac Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function   

S. Ghadimi, G. Lan Accelerated gradient methods for nonconvex nonlinear and stochastic programming (2)

E. Hazan, S. Kale Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization 

S. Shalev-Shwartz, T. Zhang Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization

Y. Arjevani, S. Shalev-Shwartz, O. Shamir On Lower and Upper Bounds in Smooth and Strongly Convex Optimization (3)

S. Shalev-Shwartz, T. Zhang Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

M. Schmidt, N. Le Roux, F. Bach Minimizing Finite Sums with the Stochastic Average Gradient  (4)

O. Fercoq, P. Richtarik Optimization in high dimensions via accelerated, parallel and proximal coordinate descent (5)

R. Gower, P. Richtarik Randomized Iterative Methods for Linear Systems  (7)

A. Mokhtari, A. Ribeiro RES: Regularized Stochastic BFGS Algorithm (9)

M. Friedlander, M. Schmidt Hybrid deterministic-stochastic methods for data fitting  (6)

Y. Xu, W. Yin Block stochastic gradient iteration for convex and nonconvex optimization (8)