Guru Guruganesh
9 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Machine Learning
(7)
Mathematics & Optimization
(7)
Optimization
(6)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
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(3)
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(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
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Applications Β· Data Science & Analytics
(1)
Applications Β· Natural Language Processing
(1)
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(1)
Keywords
online learning
(3)
no-regret learning
(3)
convex optimization
(2)
no-regret algorithm
(2)
principal-agent problem
(2)
question answering
(1)
parameter estimation
(1)
adversarial learning
(1)
nash equilibrium
(1)
learning algorithm
(1)
nearest neighbor
(1)
multi-class classification
(1)
online optimization
(1)
fourier transform
(1)
mean estimation
(1)
online algorithm
(1)
text summarization
(1)
parameter learning
(1)
optimal pricing
(1)
language modeling
(1)
Papers
Contracting with a Learning Agent
NeurIPS 2024
Functional Interpolation for Relative Positions improves Long Context Transformers
ICLR 2024
Optimal No-Regret Learning for One-Sided Lipschitz Functions
ICML 2023
A Fourier Approach to Mixture Learning
NeurIPS 2022
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NeurIPS 2021
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
AAAI 2021
Margin-Independent Online Multiclass Learning via Convex Geometry
NeurIPS 2021
Big Bird: Transformers for Longer Sequences
NeurIPS 2020
Dimension-Free Bounds for Chasing Convex Functions
COLT 2020