Andrew Cotter - RankMe

46 papers A* 14B 2Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Churn Reduction via Distillation. ICLR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
2021	J	`jnl`	Churn Reduction via Distillation. CoRR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
2021	J	`jnl`	Distilling Double Descent. CoRR Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou
2021	J	`jnl`	Implicit Rate-Constrained Optimization of Non-decomposable Objectives. CoRR Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
2021	A*	`conf`	Implicit rate-constrained optimization of non-decomposable objectives. ICML Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
2020	A*	`conf`	Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo
2020	A*	`conf`	Pairwise Fairness for Ranking and Regression. AAAI Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2020	A*	`conf`	Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2020	J	`jnl`	Robust Optimization for Fairness with Noisy Protected Groups. CoRR Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2019	A*	`conf`	On Making Stochastic Classifiers Deterministic. NeurIPS Andrew Cotter, Maya R. Gupta, Harikrishna Narasimhan
2019	J	`jnl`	Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. J. Mach. Learn. Res. Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Lutong Wang, Taman Narayan, Seungil You, Karthik Sridharan
2019	J	`jnl`	Optimizing Generalized Rate Metrics through Game Equilibrium. CoRR Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019	A*	`conf`	Optimizing Generalized Rate Metrics with Three Players. NeurIPS Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019	J	`jnl`	Pairwise Fairness for Ranking and Regression. CoRR Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2019	A*	`conf`	Shape Constraints for Set Functions. ICML Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2019	A*	`conf`	Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. ICML Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You
2019	B	`conf`	Two-Player Games for Efficient Non-Convex Constrained Optimization. ALT Andrew Cotter, Heinrich Jiang, Karthik Sridharan
2018	A*	`conf`	Constrained Interacting Submodular Groupings. ICML Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes
2018	A*	`conf`	Diminishing Returns Shape Constraints for Interpretability and Regularization. NeurIPS Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Robert Canini
2018	J	`jnl`	Interpretable Set Functions. CoRR Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2018	J	`jnl`	Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. CoRR Andrew Cotter, Heinrich Jiang, Serena Lutong Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan
2018	J	`jnl`	Proxy Fairness. CoRR Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang
2018	J	`jnl`	Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. CoRR Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You
2018	J	`jnl`	Two-Player Games for Efficient Non-Convex Constrained Optimization. CoRR Andrew Cotter, Heinrich Jiang, Karthik Sridharan
2016	A*	`conf`	A Light Touch for Heavily Constrained SGD. COLT Andrew Cotter, Maya R. Gupta, Jan Pfeifer
2016	—	`conf`	Fast and Flexible Monotonic Functions with Ensembles of Lattices. NIPS Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta
2016	J	`jnl`	Monotonic Calibrated Interpolated Look-Up Tables. J. Mach. Learn. Res. Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck
2016	—	`conf`	Satisfying Real-world Goals with Dataset Constraints. NIPS Gabriel Goh, Andrew Cotter, Maya R. Gupta, Michael P. Friedlander
2016	J	`jnl`	Satisfying Real-world Goals with Dataset Constraints. CoRR Andrew Cotter, Michael P. Friedlander, Gabriel Goh, Maya R. Gupta
2015	J	`jnl`	A Light Touch for Heavily Constrained SGD. CoRR Andrew Cotter, Maya R. Gupta, Jan Pfeifer
2015	J	`jnl`	Monotonic Calibrated Interpolated Look-Up Tables. CoRR Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski
2013	J	`jnl`	Dynamic well-spaced point sets. Comput. Geom. Umut A. Acar, Andrew Cotter, Benoît Hudson, Duru Türkoglu
2013	—	`conf`	Learning Optimally Sparse Support Vector Machines. ICML (1) Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro
2013	J	`jnl`	Stochastic Optimization for Machine Learning. CoRR Andrew Cotter
2013	—	`conf`	Stochastic Optimization of PCA with Capped MSG. NIPS Raman Arora, Andrew Cotter, Nati Srebro
2013	J	`jnl`	Stochastic Optimization of PCA with Capped MSG. CoRR Raman Arora, Andrew Cotter, Nathan Srebro
2012	—	`conf`	Stochastic optimization for PCA and PLS. Allerton Conference Raman Arora, Andrew Cotter, Karen Livescu, Nathan Srebro
2012	J	`jnl`	The Kernelized Stochastic Batch Perceptron CoRR Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro
2012	A*	`conf`	The Kernelized Stochastic Batch Perceptron. ICML Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro
2011	A*	`conf`	A GPU-tailored approach for training kernelized SVMs. KDD Andrew Cotter, Nathan Srebro, Joseph Keshet
2011	J	`jnl`	Better Mini-Batch Algorithms via Accelerated Gradient Methods CoRR Andrew Cotter, Ohad Shamir, Nathan Srebro, Karthik Sridharan
2011	—	`conf`	Better Mini-Batch Algorithms via Accelerated Gradient Methods. NIPS Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan
2011	J	`jnl`	Explicit Approximations of the Gaussian Kernel CoRR Andrew Cotter, Joseph Keshet, Nathan Srebro
2011	B	`conf`	Parallelism in dynamic well-spaced point sets. SPAA Umut A. Acar, Andrew Cotter, Benoît Hudson, Duru Türkoglu
2011	J	`jnl`	Pegasos: primal estimated sub-gradient solver for SVM. Math. Program. Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter
2010	—	`conf`	Dynamic well-spaced point sets. SCG Umut A. Acar, Andrew Cotter, Benoît Hudson, Duru Türkoglu