- Faster non-convex federated learning via global and local momentum (arXiv, software)
R. Das, A. Acharya, A. Hashemi, S. Sanghavi, I. Dhillon, U. Topcu.
To appear in Conference on Uncertainity in Artificial Intelligence (UAI) (UAI), 2022. (Spotlight) - 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. - 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. - Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (pdf, software, code)
H. Yu, N. Rao, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 847-855, 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) - 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. - 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. - Learning with Noisy Labels (pdf, poster, software)
N. Natarajan, A. Tewari, I. Dhillon, P. Ravikumar.
In Neural Information Processing Systems (NIPS), pp. 1196-1204, December 2013. - On NDCG Consistency of Listwise Ranking Methods (pdf, software)
P. Ravikumar, A. Tewari, E. Yang.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2011.