- 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. - QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models (pdf, software)
C. Hsieh, I. Dhillon, P. Ravikumar, S. Becker, P. Olsen.
In Neural Information Processing Systems (NIPS), pp. 2006–2014, December 2014. - Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs (pdf, poster, software, code)
D. Inouye, P. Ravikumar, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 3158-3166, December 2014. - QUIC: Quadratic Approximation for Sparse Inverse Covariance Matrix Estimation (pdf, software)
C. Hsieh, M. Sustik, I. Dhillon, P. Ravikumar.
Journal of Machine Learning Research (JMLR), October 2014. - Sparse Inverse Covariance Matrix Estimation using Quadratic Approximation (pdf, software)
C. Hsieh, M. Sustik, I. Dhillon, P. Ravikumar.
In Neural Information Processing Systems (NIPS), December 2011. - Tackling Box-Constrained Optimization Via a New Projected Quasi-Newton Approach (pdf, software)
D. Kim, S. Sra, I. Dhillon.
SIAM Journal on Scientific Computing 30(6), pp. 3548-3563, December 2010. - Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem (pdf, software)
D. Kim, S. Sra, I. Dhillon.
In SIAM International Conference on Data Mining (SDM), pp. 343-354, April 2007.