-
Unsupervised Learning of Particle Image Velocimetry
Particle Image Velocimetry (PIV) is a classical flow estimation problem ...
07/28/2020 ∙ by Mingrui Zhang, et al. ∙
0
∙
share
read it
-
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Despite remarkable success in practice, modern machine learning models h...
02/11/2020 ∙ by Lin Chen, et al. ∙
38
∙
share
read it
-
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
In this paper, we propose three online algorithms for submodular maximis...
10/28/2019 ∙ by Mingrui Zhang, et al. ∙
16
∙
share
read it
-
One Sample Stochastic Frank-Wolfe
One of the beauties of the projected gradient descent method lies in its...
10/10/2019 ∙ by Mingrui Zhang, et al. ∙
7
∙
share
read it
-
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization
How can we efficiently mitigate the overhead of gradient communications ...
02/17/2019 ∙ by Mingrui Zhang, et al. ∙
0
∙
share
read it
-
Black Box Submodular Maximization: Discrete and Continuous Settings
In this paper, we consider the problem of black box continuous submodula...
01/28/2019 ∙ by Lin Chen, et al. ∙
6
∙
share
read it
-
Projection-Free Bandit Convex Optimization
In this paper, we propose the first computationally efficient projection...
05/18/2018 ∙ by Lin Chen, et al. ∙
0
∙
share
read it
