Andrew Cotter
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2011–2022
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | Churn Reduction via Distillation. | Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh |
| 2021 | ICML | Implicit rate-constrained optimization of non-decomposable objectives. | Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter |
| 2020 | AAAI | Pairwise Fairness for Ranking and Regression. | Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang |
| 2019 | ALT | Two-Player Games for Efficient Non-Convex Constrained Optimization. | Andrew Cotter, Heinrich Jiang, Karthik Sridharan |
| 2019 | ICML | Shape Constraints for Set Functions. | Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu |
| 2019 | ICML | Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. | Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You |
| 2018 | ICML | Constrained Interacting Submodular Groupings. | Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes |
| 2016 | COLT | A Light Touch for Heavily Constrained SGD. | Andrew Cotter, Maya R. Gupta, Jan Pfeifer |
| 2013 | ICML | Learning Optimally Sparse Support Vector Machines. | Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro |
| 2012 | ICML | The Kernelized Stochastic Batch Perceptron. | Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro |
| 2011 | KDD | A GPU-tailored approach for training kernelized SVMs. | Andrew Cotter, Nathan Srebro, Joseph Keshet |
| 2011 | SPAA | Parallelism in dynamic well-spaced point sets. | Umut A. Acar, Andrew Cotter, Benot Hudson, Duru Trkoglu |