Saturday Morning Videos: ICML 2016 Plenary, Tutorials and more....

  

 

The videos for ICML 2016 are out ! They are all here: http://techtalks.tv/icml/2016/orals/

Thank you to the organizing committee to making these videos available. Here are the plenary and tutorial talks

Plenary

• 
  Causal Inference for Policy Evaluation Authors: Susan Athey, Stanford Graduate School of Business
  • Watch Video
• 
  A Quest for Visual Intelligence in Computers Authors: Fei-Fei Li, Stanford University
  • Watch Video
• 
  Dynamic topic models Authors: David Blei and John Lafferty
  • Watch Video
• 
  Laplacian Matrices of Graphs: Algorithms and Applications. Authors: Daniel Spielman, Yale University
  • Watch Video
  • 
    
• 
  Mining Large Graphs: Patterns, Anomalies, and Fraud Detection Authors: Christos Faloutsos, Carnegie Mellon University
  • Watch Video

 

 Tutorials

• 
  Causal inference for observational studies Authors: David Sontag and Uri Shalit (New York University)
  
  
  • Watch Video
  
  
• 
  Memory Networks for Language Understanding Authors: Jason Weston (Facebook)
  • Watch Video 
  
   
• 
  Recent Advances in Non-Convex Optimization Authors: Anima Anandkumar (University of California Irvine)
  • Watch Video
  
  
  
• 
  Deep Residual Networks: Deep Learning Gets Way Deeper Authors: Kaiming He, Facebook
  • Watch Video
  
  
• 
  Stochastic Gradient Authors:
  • Watch Video
  
  
• 
  Deep Reinforcement Learning Authors: David Silver (Google DeepMind)
  • Watch Video
  
  
• 
  The convex optimization, game-theoretic approach to learning Authors: Elad Hazan (Princeton University) and Satyen Kale (Yahoo Research)
  • Watch Video
  
  
• 
  Rigorous Data Dredging: Theory and Tools for Adaptive Data Analysis Authors: Moritz Hardt (Google) and Aaron Roth (University of Pennsylvania)
  • Watch Video
  
  
• 
  Graph Sketching, Streaming, and Space-Efficient Optimization Authors: Sudipto Guha (University of Pennsylvania) and Andrew McGregor (University of Massachusetts Amherst)
  

  • Watch Video

   

 
 
 
 
 
 
 

Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.