1. Uncertainty Sampling is Preconditioned SGD on Zero-one Loss
    Stephen Mussmann and Percy Liang
    In Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
    [Codalab Worksheet] [Old Version]

  2. On the Relationship Between Data Efficiency and Error for Uncertainty Sampling
    Stephen Mussmann and Percy Liang
    In Proceedings of the 35th International Conference on Machine Learning (ICML 2018)
    [Codalab Worksheet]

  3. The Price of Debiasing Automatic Metrics in Natural Language Evaluation
    Arun Chaganty, Stephen Mussmann, Percy Liang
    In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    [Codalab Worksheet]

  4. Generalized Binary Search For Split-Neighborly Problems
    Stephen Mussmann, Percy Liang
    In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

  5. Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
    Stephen Mussmann, Daniel Levy, Stefano Ermon
    In Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI 2017)

  6. Learning and Inference via Maximum Inner Product Search
    Stephen Mussmann, Stefano Ermon
    In Proceedings of the 33rd Internation Conference on Machine Learning (ICML 2016)

  7. Incorporating Assortativity and Degree Dependence into Scalable Network Models
    Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville
    In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)
    [code]