Arun Rajkumar
15 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Mathematics & Optimization
(10)
Learning Types
(7)
Optimization
(7)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Core Methods
(5)
Core AI
(4)
Mathematics
(4)
Computer Science
(2)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
pairwise comparison
(5)
bradley-terry-luce model
(4)
sample complexity
(3)
preference learning
(2)
regret bound
(2)
adversarial learning
(2)
feedback arc set
(2)
combinatorial optimization
(2)
neural network
(2)
tournament solution
(2)
rank aggregation
(2)
statistical convergence
(1)
graph matching
(1)
stochastic gradient descent
(1)
federated learning
(1)
ensemble learning
(1)
label noise
(1)
domain adaptation
(1)
stochastic optimization
(1)
regret minimization
(1)
Papers
Neural Routed Boosting: Robust Learning against Heteroscedastic Noise
UAI 2026
A Graph Theoretic Approach for Preference Learning with Feature Information
UAI 2024
A Theory of Tournament Representations
ICLR 2022
Byzantine Spectral Ranking
NeurIPS 2022
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
NeurIPS 2021
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
NeurIPS 2019
Learning Transferable Feature Representations Using Neural Networks
ACL 2019
Lovasz Convolutional Networks
AISTATS 2019
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
NeurIPS 2016
Multi-Source Iterative Adaptation for Cross-Domain Classification
IJCAI 2016
When can we rank well from comparisons of O(n\log(n)) non-actively chosen pairs?
COLT 2016
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
ICML 2015
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
ICML 2014
Online Decision-Making in General Combinatorial Spaces
NeurIPS 2014
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
AISTATS 2012