2019

  1. A Continuous-Time View of Early Stopping for Least Squares Alnur Ali, Zico Kolter, and Ryan Tibshirani Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 PDF

2018

  1. The Generalized Lasso Problem and Uniqueness Alnur Ali and Ryan Tibshirani PDF
  2. Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluc, Dmitriy Morozov, Leonid Oliker, Katherine Yelick, and Sang-Yun Oh Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 PDF Code

2017

  1. A Semismooth Newton Method for Fast, Generic Convex Programming Alnur Ali, Eric Wong, and Zico Kolter Proceedings of the 34th International Conference on Machine Learning (ICML), 2017 PDF Code
  2. Generalized Pseudolikelihood Methods for Inverse Covariance Estimation Alnur Ali, Kshitij Khare, Sang-Yun Oh, and Bala Rajaratnam Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 2017 PDF Code

2016

  1. The Multiple Quantile Graphical Model Alnur Ali, Zico Kolter, and Ryan Tibshirani Advances in Neural Information Processing Systems 29 (NeurIPS), 2016 PDF

2015

  1. Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization Alnur Ali, Zico Kolter, Steven Diamond, and Stephen Boyd Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI), 2015 PDF Code

≤2014

  1. Active Learning with Model Selection Alnur Ali, Rich Caruana, and Ashish Kapoor Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014 PDF
    1. Experiments with Kemeny Ranking: What Works When? Alnur Ali and Marina Meila Mathematical Social Sciences, 2012 PDF Code
    2. Learning Lexicon Models from Search Logs for Query Expansion Jianfeng Gao, Xiaodong He, Shasha Xie, and Alnur Ali Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2012 PDF
      1. Preferences in College Applications: A Nonparametric Bayesian Analysis of Top-10 Rankings Alnur Ali, Brendan Murphy, Marina Meila, and Harr Chen Proceedings of the Neural Information Processing Systems (NeurIPS) Workshop on Computational Social Science, 2010 PDF Supplement