Andrew Cotter
19 papers · 2011–2022 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
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Grand Slam
π€
Dynamic Duo
(13)
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Keyword Champion
(9)
π§
Keyword Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(88)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Keywords
constrained optimization
(9)
fairness constraint
(3)
gradient descent
(2)
shape constraint
(2)
fairness metric
(2)
ensemble learning
(2)
two-player game
(2)
lattice regression
(2)
lagrange multiplier
(2)
feature selection
(2)
monotonic function
(2)
non-convex optimization
(2)
look-up table
(2)
empirical risk minimization
(1)
machine learning fairness
(1)
robust optimization
(1)
knowledge distillation
(1)
sparse optimization
(1)
algorithmic fairness
(1)
stochastic classifier
(1)
Papers
Churn Reduction via Distillation
ICLR 2022
Implicit rate-constrained optimization of non-decomposable objectives
ICML 2021
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
NeurIPS 2020
Pairwise Fairness for Ranking and Regression
AAAI 2020
Robust Optimization for Fairness with Noisy Protected Groups
NeurIPS 2020
On Making Stochastic Classifiers Deterministic
NeurIPS 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
JMLR 2019
Optimizing Generalized Rate Metrics with Three Players
NeurIPS 2019
Shape Constraints for Set Functions
ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
ICML 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization
ALT 2019
Constrained Interacting Submodular Groupings
ICML 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization
NeurIPS 2018
A Light Touch for Heavily Constrained SGD
COLT 2016
Fast and Flexible Monotonic Functions with Ensembles of Lattices
NeurIPS 2016
Monotonic Calibrated Interpolated Look-Up Tables
JMLR 2016
Satisfying Real-world Goals with Dataset Constraints
NeurIPS 2016
Learning Optimally Sparse Support Vector Machines
ICML 2013
Better Mini-Batch Algorithms via Accelerated Gradient Methods
NeurIPS 2011