2022
Churn Reduction via Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Distilling Double Descent.
CoRR, 2021
Implicit rate-constrained optimization of non-decomposable objectives.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Robust Optimization for Fairness with Noisy Protected Groups.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Pairwise Fairness for Ranking and Regression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
J. Mach. Learn. Res., 2019
Optimizing Generalized Rate Metrics through Game Equilibrium.
CoRR, 2019
Optimizing Generalized Rate Metrics with Three Players.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On Making Stochastic Classifiers Deterministic.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints.
Proceedings of the 36th International Conference on Machine Learning, 2019
Shape Constraints for Set Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization.
Proceedings of the Algorithmic Learning Theory, 2019
2018
Interpretable Set Functions.
CoRR, 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Constrained Interacting Submodular Groupings.
Proceedings of the 35th International Conference on Machine Learning, 2018
2016
Monotonic Calibrated Interpolated Look-Up Tables.
J. Mach. Learn. Res., 2016
Satisfying Real-world Goals with Dataset Constraints.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Fast and Flexible Monotonic Functions with Ensembles of Lattices.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
A Light Touch for Heavily Constrained SGD.
Proceedings of the 29th Conference on Learning Theory, 2016
2015
Monotonic Calibrated Interpolated Look-Up Tables.
CoRR, 2015
2013
Stochastic Optimization for Machine Learning.
CoRR, 2013
Dynamic well-spaced point sets.
Comput. Geom., 2013
Stochastic Optimization of PCA with Capped MSG.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Learning Optimally Sparse Support Vector Machines.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
The Kernelized Stochastic Batch Perceptron.
Proceedings of the 29th International Conference on Machine Learning, 2012
Stochastic optimization for PCA and PLS.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
Pegasos: primal estimated sub-gradient solver for SVM.
Math. Program., 2011
Explicit Approximations of the Gaussian Kernel
CoRR, 2011
Parallelism in dynamic well-spaced point sets.
Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
A GPU-tailored approach for training kernelized SVMs.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011