| Pegasos: Primal estimated sub-gradient solver for svm S Shalev-Shwartz, Y Singer, N Srebro Proceedings of the 24th international conference on Machine learning, 807-814, 2007 | 2905 | 2007 |
| Better mini-batch algorithms via accelerated gradient methods A Cotter, O Shamir, N Srebro, K Sridharan Advances in neural information processing systems 24, 2011 | 402 | 2011 |
| Satisfying real-world goals with dataset constraints G Goh, A Cotter, M Gupta, MP Friedlander Advances in neural information processing systems 29, 2016 | 262 | 2016 |
| Stochastic optimization for PCA and PLS R Arora, A Cotter, K Livescu, N Srebro 2012 50th annual allerton conference on communication, control, and …, 2012 | 187 | 2012 |
| Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals A Cotter, H Jiang, M Gupta, S Wang, T Narayan, S You, K Sridharan Journal of Machine Learning Research 20 (172), 1-59, 2019 | 184 | 2019 |
| Monotonic calibrated interpolated look-up tables M Gupta, A Cotter, J Pfeifer, K Voevodski, K Canini, A Mangylov, ... Journal of Machine Learning Research 17 (109), 1-47, 2016 | 169 | 2016 |
| Two-player games for efficient non-convex constrained optimization A Cotter, H Jiang, K Sridharan Algorithmic Learning Theory, 300-332, 2019 | 144 | 2019 |
| Robust optimization for fairness with noisy protected groups S Wang, W Guo, H Narasimhan, A Cotter, M Gupta, M Jordan Advances in neural information processing systems 33, 5190-5203, 2020 | 141 | 2020 |
| Pairwise fairness for ranking and regression H Narasimhan, A Cotter, M Gupta, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5248-5255, 2020 | 129 | 2020 |
| Training well-generalizing classifiers for fairness metrics and other data-dependent constraints A Cotter, M Gupta, H Jiang, N Srebro, K Sridharan, S Wang, B Woodworth, ... International Conference on Machine Learning, 1397-1405, 2019 | 121 | 2019 |
| Stochastic optimization of PCA with capped MSG R Arora, A Cotter, N Srebro Advances in Neural Information Processing Systems 26, 2013 | 109 | 2013 |
| Fast and flexible monotonic functions with ensembles of lattices M Milani Fard, K Canini, A Cotter, J Pfeifer, M Gupta Advances in neural information processing systems 29, 2016 | 89 | 2016 |
| Explicit approximations of the Gaussian kernel A Cotter, J Keshet, N Srebro arXiv preprint arXiv:1109.4603, 2011 | 81 | 2011 |
| A GPU-tailored approach for training kernelized SVMs A Cotter, N Srebro, J Keshet Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 65 | 2011 |
| Learning optimally sparse support vector machines A Cotter, S Shalev-Shwartz, N Srebro International Conference on Machine Learning, 266-274, 2013 | 52 | 2013 |
| Dynamic well-spaced point sets UA Acar, A Cotter, B Hudson, D Türkoglu Proceedings of the twenty-sixth annual symposium on Computational geometry …, 2010 | 40 | 2010 |
| On making stochastic classifiers deterministic A Cotter, M Gupta, H Narasimhan Advances in Neural Information Processing Systems 32, 2019 | 33 | 2019 |
| Optimizing generalized rate metrics with three players H Narasimhan, A Cotter, M Gupta Advances in Neural Information Processing Systems 32, 2019 | 33 | 2019 |
| Diminishing returns shape constraints for interpretability and regularization M Gupta, D Bahri, A Cotter, K Canini Advances in neural information processing systems 31, 2018 | 31 | 2018 |
| A light touch for heavily constrained SGD A Cotter, M Gupta, J Pfeifer Conference on Learning Theory, 729-771, 2016 | 27 | 2016 |
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
