Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds


Jun 24, 2020
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances


Jun 14, 2020
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Gradient Boosted Flows


Feb 27, 2020
Robert Giaquinto, Arindam Banerjee

Add code

* Under review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis


Feb 26, 2020
Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors


Feb 23, 2020
Arindam Banerjee, Tiancong Chen, Yingxue Zhou

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond


Oct 11, 2019
Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization


Jul 24, 2019
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Two-block vs. Multi-block ADMM: An empirical evaluation of convergence


Jul 10, 2019
Andre Goncalves, Xiaoli Liu, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora


Nov 03, 2018
Robert Giaquinto, Arindam Banerjee

Add code

* Published in IEEE International Conference on Data Mining, November 2018, Singapore 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Adversarial Recommendation: Attack of the Learned Fake Users


Sep 21, 2018
Konstantina Christakopoulou, Arindam Banerjee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
<<
1
2
3
4
5
>>