1 citations · 2 across the 4 of their papers we have counts for
7 papers
Mirror-prox sliding methods for solving a class of monotone variational inequalities
Guanghui Lan, Yuyuan Ouyang
In this paper we propose new algorithms for solving a class of structured monotone variational inequality (VI) problems over compact feasible sets. By identifying the gradient comp…
Universal Conditional Gradient Sliding for Convex Optimization
Yuyuan Ouyang, Trevor Squires
In this paper, we present a first-order projection-free method, namely, the universal conditional gradient sliding (UCGS) method, for solving -approximate solutions to…
Graph topology invariant gradient and sampling complexity for decentralized and stochastic optimization
Guanghui Lan, Yuyuan Ouyang, Yi Zhou
One fundamental problem in decentralized multi-agent optimization is the trade-off between gradient/sampling complexity and communication complexity. We propose new algorithms whos…
Backtracking linesearch for conditional gradient sliding
Hamid Nazari, Yuyuan Ouyang
We present a modification of the conditional gradient sliding (CGS) method that was originally developed in \cite{lan2016conditional}. While the CGS method is a theoretical breakth…
An Asymptotic Result of Conditional Logistic Regression Estimator
Zhulin He, Yuyuan Ouyang
In cluster-specific studies, ordinary logistic regression and conditional logistic regression for binary outcomes provide maximum likelihood estimator (MLE) and conditional maximum…
Some Worst-Case Datasets of Deterministic First-Order Methods for Solving Binary Logistic Regression
Yuyuan Ouyang, Trevor Squires
We present in this paper some worst-case datasets of deterministic first-order methods for solving large-scale binary logistic regression problems. Under the assumption that the nu…