Siddartha Devic
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🌈 Renaissance Researcher (5) ⚡ Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(4)
Optimization & Theory
(4)
Application Areas
(3)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Foundations
(1)
Keywords
individual fairness
(2)
empirical risk minimization
(2)
algorithmic fairness
(2)
sample complexity
(2)
transductive learning
(2)
pac learning
(1)
multi-class classification
(1)
linear programming
(1)
variable elimination
(1)
structural risk minimization
(1)
multiclass learning
(1)
hypothesis class
(1)
ranking function
(1)
uncertainty estimation
(1)
polynomial time algorithm
(1)
utility maximization
(1)
calibration error
(1)
factored mdp
(1)
linear value function
(1)
one-inclusion graph
(1)
Papers
An External Fairness Evaluation of LinkedIn Talent Search
AAAI 2026
Proper Learnability and the Role of Unlabeled Data
ALT 2025
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT 2024
Regularization and Optimal Multiclass Learning
COLT 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
ICML 2024
Transductive Learning is Compact
NeurIPS 2024
When is Multicalibration Post-Processing Necessary?
NeurIPS 2024
Fairness in Matching under Uncertainty
ICML 2023
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions
AISTATS 2022