Rajeev Alur
10 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Half π Grand Slam
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Keyword Collector
(52)
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Conference Pioneer
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(4)
Reinforcement Learning
(4)
Applications
(3)
Methods
(3)
Learning Types
(2)
Optimization & Theory
(2)
Computer Science
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Architectures
(1)
Core Methods
(1)
Models
(1)
Keywords
large language model
(2)
reinforcement learning
(2)
in-context learning
(1)
multimodal learning
(1)
adversarial training
(1)
program synthesis
(1)
compositional learning
(1)
deep neural network
(1)
gradient estimation
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
value iteration
(1)
reward function
(1)
lipschitz continuity
(1)
zero-sum game
(1)
feature attribution
(1)
foundation model
(1)
lipschitz constant
(1)
reward shaping
(1)
knowledge representation
(1)
Papers
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
ICLR 2025
Data-Efficient Learning with Neural Programs
NeurIPS 2024
MuCache: A General Framework for Caching in Microservice Graphs
NSDI 2024
Relational Programming with Foundational Models
AAAI 2024
Robust Subtask Learning for Compositional Generalization
ICML 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing
NeurIPS 2023
Abstract Value Iteration for Hierarchical Reinforcement Learning
AISTATS 2021
Compositional Reinforcement Learning from Logical Specifications
NeurIPS 2021
A Composable Specification Language for Reinforcement Learning Tasks
NeurIPS 2019
Automated Grading of DFA Constructions
IJCAI 2013