Andrew Cotter
19 papers · 2011–2022 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (7)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
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Deep Specialist
(11)
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Keyword Champion
(9)
π€
Dynamic Duo
(13)
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Grand Slam
ποΈ
Keyword Collector
(83)
β‘
Prolific Year
(6)
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Conference Pioneer
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Trend Setter
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Century Club
(19)
π₯
Unstoppable
(5)
Conferences
NIPS (8)
ICML (5)
JMLR (2)
AAAI (1)
ALT (1)
COLT (1)
ICLR (1)
Top co-authors
Keywords
constrained optimization
(9)
fairness constraint
(3)
ensemble learning
(2)
lattice regression
(2)
non-convex optimization
(2)
fairness metric
(2)
monotonic function
(2)
look-up table
(2)
feature selection
(2)
lagrange multiplier
(2)
two-player game
(2)
shape constraint
(2)
gradient descent
(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