Grigoris Velegkas
17 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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learning rate
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pac learning
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sample complexity
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online learning
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learning curve
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multiclass classification
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regret minimization
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interactive learning
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learning theory
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logarithmic regret
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adversarial machine learning
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combinatorial complexity
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Papers
On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
ALT 2026
Understanding Aggregations of Proper Learners in Multiclass Classification
ALT 2025
Procurement Auctions via Approximately Optimal Submodular Optimization
ICML 2025
Universal Rates for Active Learning
NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NIPS 2024
Randomized Truthful Auctions with Learning Agents
NIPS 2024
On the Computational Landscape of Replicable Learning
NIPS 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss
COLT 2024
Replicable Learning of Large-Margin Halfspaces
ICML 2024
Replicable Bandits
ICLR 2023
Statistical Indistinguishability of Learning Algorithms
ICML 2023
Replicable Clustering
NIPS 2023
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
NIPS 2023
Replicability in Reinforcement Learning
NIPS 2023
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
NIPS 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches
NIPS 2022
Universal Rates for Interactive Learning
NIPS 2022