← Authors

Andrew Cotter

19 papers · 2011–2022 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (12) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (9) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (83) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (5)

Conferences

NIPS (8) ICML (5) JMLR (2) AAAI (1) ALT (1) COLT (1) ICLR (1)

Top co-authors

Maya Gupta (13) Harikrishna Narasimhan (7) Serena Wang (6) Heinrich Jiang (5) Karthik Sridharan (4) Jan Pfeifer (3) Kevin Canini (3) Seungil You (3) Mahdi Milani Fard (2) Dara Bahri (2)

Keywords

constrained optimization (9) fairness constraint (3) ensemble learning (2) lattice regression (2) look-up table (2) gradient descent (2) lagrange multiplier (2) shape constraint (2) feature selection (2) fairness metrics (2) non-convex optimization (2) two-player game (2) monotonic function (2) constraint satisfaction (1) empirical risk minimization (1) machine learning fairness (1) robust optimization (1) algorithmic fairness (1) sparse optimization (1) stochastic classifier (1)

Papers

Churn Reduction via Distillation ICLR 2022
Implicit rate-constrained optimization of non-decomposable objectives ICML 2021
Robust Optimization for Fairness with Noisy Protected Groups NIPS 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NIPS 2020
Pairwise Fairness for Ranking and Regression AAAI 2020
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019
Optimizing Generalized Rate Metrics with Three Players NIPS 2019
On Making Stochastic Classifiers Deterministic NIPS 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization ALT 2019
Shape Constraints for Set Functions ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
Constrained Interacting Submodular Groupings ICML 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization NIPS 2018
Satisfying Real-world Goals with Dataset Constraints NIPS 2016
Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016
Fast and Flexible Monotonic Functions with Ensembles of Lattices NIPS 2016
A Light Touch for Heavily Constrained SGD COLT 2016
Learning Optimally Sparse Support Vector Machines ICML 2013
Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011