Optimization group meeting (Fall 2019)

Time: 12:30 - 15:30 on Wednesdays

Location: Amos Eaton Hall 402

Participants

Regular participants: Profs. Rongjie Lai, John Mitchell, and Yangyang Xu's group members.

For others: anyone is welcome to join us if you are interested in the topic to be presented.

Schedules

• Dec. 04

  • Zichong Li, Random Gradient-Free Minimization of Convex Functions

• November 20

  • Yibo Xu, Stochastic Variance Reduction Methods for Policy Evaluation

• November 13

  • Yonggui Yan, Is Q-learning Provably Efficient?

• November 06

  • Gabe Mancino-Ball, A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates

• October 30

  • Zichong Li

    • An accelerated inexact proximal point method for solving nonconvex-concave min-max problems

    • A Doubly Accelerated Inexact Proximal Point Method for Nonconvex Composite Optimization Problems

  • Colin Sutcher-Shepard, Deep Learning with Differential Privacy

• October 16

  • Gabe Mancino-Ball, A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization

  • Zichong Li

• October 09

  • Colin Sutcher-Shepard,

    • An Introduction to secure Machine Learning with Differential Privacy

    • Three Factors Influencing Minima in SGD

    • Qualitatively characterizing neural network optimization problems

  • Yonggui Yan,

    • Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients

    • Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate

• October 02

  • Tianyi Chen, Lazy aggregation for communication-efficient collaborative machine learning

  • Colin Sutcher-Shepard, An Introduction to secure Machine Learning with Differential Privacy

• September 25

  • Gabe Mancino-Ball, EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization

• September 11

  • Gabe Mancino-Ball, Distributed Subgradient Methods for Multi-Agent Optimization

  • Zichong Li, On the complexity of finding first-order critical points in constrained nonlinear optimization

• September 04

  • Yibo Xu, Level-Set Methods for Convex Optimization

  • Yonggui Yan, Escaping Saddle Points with Adaptive Gradient Methods

Previous meetings

• Spring 2019