Machine Learning Seminar Fall 2013

Schedule of Topics

The ML seminar meets ever Wednesday 1-2pm in Bryan Hall 509C.

Presentation Schedule: (Spring 2016)

  • 01/27/2016
    Speaker: Allen Lavoie
    Title: Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
  • 02/03/2016
    Speaker: Shali Jiang
    Title: Recovering from Selection Bias in Causal and Statistical Inference
  • 02/10/2016
    Speaker: Muhan Zhang
    Title: Towards a Learning Theory of Cause-Effect Inference
  • 02/17/2016
    Speaker: Dina Elreedy
    Title: Optimal and Adaptive Algorithms for Online Boosting
  • 02/24/2016
    Speaker: Hao Yan
    Title: Cost Optimization For Crowdsourcing Translation
  • 03/02/2016
    Speaker: Lav Gupta
    Title: Towards Making Network Function Virtualization a Cloud Computing Service
  • 03/09/2016
    Speaker: Gustavo Malkomes
    Title: Probabilistic Line Searches for Stochastic Optimization
  • 03/23/2016
    Speaker: Xiaoxin Liu
    Title: Learning Deep Structured Models
  • 03/30/2016
    Speaker: Elena Labzina
    Title: A Penny for your Tweets: Campaign Contributions and Capitol Hill Microblogs
  • 04/06/2016
    Speaker: Liang Zhou
    Title: Deep Visual Analogy-Making
  • 04/13/2016
    Speaker: Mithun Chakraborty
    Title: Fast Convergence of Regularized Learning in Games
  • 04/20/2016
    Speaker: Zhuoshu Li
    Title: Strategic Classification
  • 04/27/2016
    Speaker: Zhaonan Liu
    Title: TBA
  • 05/04/2016
    Speaker: Yujie He
    Title: Less is More: Nyström Computational Regularization