Support Vector Machines

• Asynchronous Parallel Greedy Coordinate Descent (pdf, software)
  Y. You, X. Lian, J. Liu, H. Yu, I. Dhillon, J. Demmel, C. Hsieh.
  In Neural Information Processing Systems (NIPS), December 2016.
• Dual Decomposed Learning with Factorwise Oracle for Structural SVM with Large Output Domain (pdf, software)
  I. Yen, X. Huang, K. Zhong, R. Zhang, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2016.
• A Primal and Dual Sparse Approach to Extreme Classification (pdf, slides, poster, software, code)
  I. Yen, X. Huang, K. Zhong, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), June 2016. (Oral)
• PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent (pdf, software)
  C. Hsieh, H. Yu, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2370-2379, July 2015.
• Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space (pdf, software)
  I. Yen, T. Lin, S. Lin, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 2456-2464, December 2014.
• A Divide-and-Conquer Solver for Kernel Support Vector Machines (pdf, software, code)
  C. Hsieh, S. Si, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 566-574, June 2014.
• Perturbation based Large Margin Approach for Ranking (pdf, software)
  E. Yang, A. Tewari, P. Ravikumar.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.