← Authors

Maya Gupta

25 papers · 2009–2022 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (13) 🧬 Topic Evolution πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (114) ⚑ Prolific Year (6) πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (5)

Conferences

NIPS (12) ICML (8) JMLR (2) AAAI (1) AISTATS (1) COLT (1)

Top co-authors

Andrew Cotter (13) Serena Wang (6) Harikrishna Narasimhan (6) Heinrich Jiang (5) Mahdi Milani Fard (5) Kevin Canini (5) Seungil You (4) Jan Pfeifer (4) Erez Louidor (3) Sen Zhao (3)

Keywords

constrained optimization (6) shape constraint (4) fairness constraint (3) monotonicity constraint (3) lattice regression (3) monotonic function (3) look-up table (3) deep lattice network (2) neural network (2) fairness metrics (2) statistical parity (2) parameter estimation (2) ensemble learning (2) function approximation (2) noisy label (2) empirical risk minimization (2) algorithmic fairness (2) feature selection (1) black-box optimization (1) game theory (1)

Papers

Global Optimization Networks ICML 2022
Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020
Robust Optimization for Fairness with Noisy Protected Groups NIPS 2020
Deep k-NN for Noisy Labels ICML 2020
Deontological Ethics By Monotonicity Shape Constraints AISTATS 2020
Pairwise Fairness for Ranking and Regression AAAI 2020
Multidimensional Shape Constraints ICML 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
Shape Constraints for Set Functions ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
Metric-Optimized Example Weights ICML 2019
To Trust Or Not To Trust A Classifier NIPS 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization NIPS 2018
Constrained Interacting Submodular Groupings ICML 2018
Deep Lattice Networks and Partial Monotonic Functions NIPS 2017
Fast and Flexible Monotonic Functions with Ensembles of Lattices NIPS 2016
Satisfying Real-world Goals with Dataset Constraints NIPS 2016
A Light Touch for Heavily Constrained SGD COLT 2016
Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016
Launch and Iterate: Reducing Prediction Churn NIPS 2016
Multi-Task Averaging NIPS 2012
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Lattice Regression NIPS 2009