70 citations · 560 across the 53 of their papers we have counts for
5 papers · 1 filter
Adaptive Online Learning in Dynamic Environments
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
In this paper, we study online convex optimization in dynamic environments, and aim to bound the dynamic regret with respect to any sequence of comparators. Existing work have show…
Query-Efficient Black-Box Attack by Active Learning
Pengcheng Li, Jinfeng Yi, Lijun Zhang
Deep neural network (DNN) as a popular machine learning model is found to be vulnerable to adversarial attack. This attack constructs adversarial examples by adding small perturbat…
Matrix Completion from Non-Uniformly Sampled Entries
Yuanyu Wan, Jinfeng Yi, Lijun Zhang
In this paper, we consider matrix completion from non-uniformly sampled entries including fully observed and partially observed columns. Specifically, we assume that a small number…
-regression with Heavy-tailed Distributions
Lijun Zhang, Zhi-Hua Zhou
In this paper, we consider the problem of linear regression with heavy-tailed distributions. Different from previous studies that use the squared loss to measure the performance, w…
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning
Fanhua Shang, Kaiwen Zhou, Hongying Liu +5
In this paper, we propose a simple variant of the original SVRG, called variance reduced stochastic gradient descent (VR-SGD). Unlike the choices of snapshot and starting points in…