Machine Learning Group Seminar (Fall 2020)

Time: 2:30PM - 5:00PM CST, Friday, Online: Zoom link

Hosted by: Tianbao Yang, Qihang Lin, Peng Jiang

Topic: The general topics of interest is machine learning and optimization. In particular, we are interested in stochastic optimization, non-convex optimization, constrained optimization, efficient methods for large-scale training of deep neural networks, etc.

Maintained by: Qi Qi

Week	Date	Topic	Presenter	Recorded Videos
1	Sep 4, 2020	DropoutNet: Addressing Cold Start in Recommender Systems	Dixian Zhu	Password Required
2	Sep 11, 2020	Nesterov's Method with Decreasing Learning Rate Leads to Accelerated Stochastic Gradient Descent	Yan Yan	Password Required
3	Sep 18, 2020	Distance Encoding – Design Provably More Powerful Graph Neural Networks for Structural Representation Learning	Xin Man	Password Required
4	Sep 25, 2020	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	Zhishuai Guo	Password Required
5	Oct 2, 2020	Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions	Yankun Huang	Password Required
6	Oct 9, 2020	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks	Masuma Akter Rumi	Password Required
7	Oct 16, 2020	Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized	Qi Qi	Password Required
8	Oct 23, 2020		Canceled
9	Oct 30, 2020	A Simple Framework for Contrastive Learning of Visual Representations	Zhuoning Yuan	Password Required
10	Nov 6, 2020	ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm	Qi Qi
11	Nov 13, 2020		Canceled
12	Nov 20, 2020	Variational Inference: A Review for Statisticians	Dixian Zhu
13	Nov 27, 2020	Thanksgiving Break	Happy Thanksgiving!
14	Dec 4, 2020	Optimal Algorithms for Convex Nested Stochastic Composite Optimization	Qi Qi
15	Dec 11, 2020		Final Exam Week