Publications

2017

• Doubly Greedy Primal-Dual Coordinate Methods for Sparse Empirical Risk Minimization (pdf, software)
  Q. Lei, I. Yen, C. Wu, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 8, August 2017.
• Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain (pdf, software)
  X. Huang, I. Yen, R. Zhang, Q. Huang, P. Ravikumar, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2017.
• Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition (pdf, software)
  J. Zhang, I. Yen, P. Ravikumar, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2017.

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 Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery (pdf, slides, poster, software)
  I. Yen, X. Lin, J. Zhang, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), June 2016. (Oral)
• 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)

2015

• Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent (pdf, software, code)
  I. Yen, K. Zhong, C. Hsieh, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2015.
• A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models (pdf, slides, software)
  I. Yen, X. Lin, K. Zhong, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2418-2426, July 2015.

2014

• Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators (pdf, software, code)
  K. Zhong, I. Yen, I. Dhillon, P. Ravikumar.
  In Neural Information Processing Systems (NIPS), pp. 2375-2383, December 2014.
• Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings (pdf, software)
  I. Yen, C. Hsieh, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 1008-1016, December 2014.
• 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.