Krishna Gummadi
9 papers · 2017–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🧭
Keyword Pioneer
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(8)
Artificial Intelligence
(5)
Core AI
(4)
Core Methods
(3)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Techniques
(1)
Keywords
algorithmic fairness
(4)
neural network
(2)
transfer learning
(1)
feature importance
(1)
secure multi-party computation
(1)
online optimization
(1)
integer linear programming
(1)
fair machine learning
(1)
multi-armed bandit
(1)
weight initialization
(1)
pre-trained representation
(1)
social learning
(1)
sensitive attribute
(1)
recommender system
(1)
rawlsian fairness
(1)
linear programming
(1)
black-box model
(1)
individual fairness
(1)
similarity measure
(1)
convex optimization
(1)
Papers
Diffused Redundancy in Pre-trained Representations
NeurIPS 2023
Measuring Representational Robustness of Neural Networks Through Shared Invariances
ICML 2022
Auditing Black-Box Prediction Models for Data Minimization Compliance
NeurIPS 2021
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
AAAI 2020
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
ICML 2019
The Price of Local Fairness in Multistage Selection
IJCAI 2019
Blind Justice: Fairness with Encrypted Sensitive Attributes
ICML 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
NeurIPS 2018
From Parity to Preference-based Notions of Fairness in Classification
NeurIPS 2017