Cotter, Andrew

20 publications

ICLR 2022 Churn Reduction via Distillation Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh

ICML 2021 Implicit Rate-Constrained Optimization of Non-Decomposable Objectives Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter

NeurIPS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo

AAAI 2020 Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang

NeurIPS 2020 Robust Optimization for Fairness with Noisy Protected Groups Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Michael I. Jordan

NeurIPS 2019 On Making Stochastic Classifiers Deterministic Andrew Cotter, Maya Gupta, Harikrishna Narasimhan

JMLR 2019 Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter, Heinrich Jiang, Maya Gupta, Serena Wang, Taman Narayan, Seungil You, Karthik Sridharan

NeurIPS 2019 Optimizing Generalized Rate Metrics with Three Players Harikrishna Narasimhan, Andrew Cotter, Maya Gupta

ICML 2019 Shape Constraints for Set Functions Andrew Cotter, Maya Gupta, Heinrich Jiang, Erez Louidor, James Muller, Tamann Narayan, Serena Wang, Tao Zhu

ICML 2019 Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints Andrew Cotter, Maya Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Wang, Blake Woodworth, Seungil You

ALT 2019 Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter, Heinrich Jiang, Karthik Sridharan

ICML 2018 Constrained Interacting Submodular Groupings Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya Gupta, Jeff Bilmes

NeurIPS 2018 Diminishing Returns Shape Constraints for Interpretability and Regularization Maya Gupta, Dara Bahri, Andrew Cotter, Kevin Canini

COLT 2016 A Light Touch for Heavily Constrained SGD Andrew Cotter, Maya R. Gupta, Jan Pfeifer

NeurIPS 2016 Fast and Flexible Monotonic Functions with Ensembles of Lattices Mahdi Milani Fard, Kevin Canini, Andrew Cotter, Jan Pfeifer, Maya Gupta

JMLR 2016 Monotonic Calibrated Interpolated Look-up Tables Maya Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Canini, Alexander Mangylov, Wojciech Moczydlowski, Alexander van Esbroeck

NeurIPS 2016 Satisfying Real-World Goals with Dataset Constraints Gabriel Goh, Andrew Cotter, Maya Gupta, Michael P Friedlander

ICML 2013 Learning Optimally Sparse Support Vector Machines Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro

ICML 2012 The Kernelized Stochastic Batch Perceptron Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro

NeurIPS 2011 Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan