Andrew Cotter
Andrew Cotter
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Pegasos: Primal estimated sub-gradient solver for svm
S Shalev-Shwartz, Y Singer, N Srebro, A Cotter
Mathematical programming 127 (1), 3-30, 2011
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
arXiv preprint arXiv:1106.4574, 2011
Stochastic optimization for PCA and PLS
R Arora, A Cotter, K Livescu, N Srebro
2012 50th Annual Allerton Conference on Communication, Control, and …, 2012
Satisfying real-world goals with dataset constraints
G Goh, A Cotter, M Gupta, MP Friedlander
Advances in Neural Information Processing Systems, 2415-2423, 2016
Stochastic optimization of PCA with capped MSG
R Arora, A Cotter, N Srebro
arXiv preprint arXiv:1307.1674, 2013
Monotonic calibrated interpolated look-up tables
M Gupta, A Cotter, J Pfeifer, K Voevodski, K Canini, A Mangylov, ...
The Journal of Machine Learning Research 17 (1), 3790-3836, 2016
Explicit approximations of the Gaussian kernel
A Cotter, J Keshet, N Srebro
arXiv preprint arXiv:1109.4603, 2011
Two-player games for efficient non-convex constrained optimization
A Cotter, H Jiang, K Sridharan
Algorithmic Learning Theory, 300-332, 2019
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
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
Learning optimally sparse support vector machines
A Cotter, S Shalev-Shwartz, N Srebro
International Conference on Machine Learning, 266-274, 2013
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
A Cotter, H Jiang, MR Gupta, S Wang, T Narayan, S You, K Sridharan
J. Mach. Learn. Res. 20 (172), 1-59, 2019
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, 2919-2927, 2016
Proxy fairness
M Gupta, A Cotter, MM Fard, S Wang
arXiv preprint arXiv:1806.11212, 2018
Dynamic well-spaced point sets
UA Acar, A Cotter, B Hudson, D Türkoğlu
Computational Geometry 46 (6), 756-773, 2013
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
A light touch for heavily constrained SGD
A Cotter, M Gupta, J Pfeifer
Conference on Learning Theory, 729-771, 2016
Robust optimization for fairness with noisy protected groups
S Wang, W Guo, H Narasimhan, A Cotter, M Gupta, MI Jordan
arXiv preprint arXiv:2002.09343, 2020
Parallelism in dynamic well-spaced point sets
UA Acar, A Cotter, B Hudson, D Türkoglu
Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011
Diminishing returns shape constraints for interpretability and regularization
MR Gupta, D Bahri, A Cotter, K Canini
Proceedings of the 32nd International Conference on Neural Information …, 2018
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