Guru Guruganesh
9 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(6)
π
Grand Slam
π₯
Unstoppable
(5)
Conferences
NIPS (5)
AAAI (1)
COLT (1)
ICLR (1)
ICML (1)
Top co-authors
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)
mixture learning
(1)
nearest neighbor
(1)
online optimization
(1)
fourier transform
(1)
optimal pricing
(1)
multiclass classification
(1)
contextual bandit
(1)
learning algorithm
(1)
mean estimation
(1)
parameter learning
(1)
text summarization
(1)
Papers
Contracting with a Learning Agent
NIPS 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
NIPS 2022
Margin-Independent Online Multiclass Learning via Convex Geometry
NIPS 2021
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
AAAI 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NIPS 2021
Dimension-Free Bounds for Chasing Convex Functions
COLT 2020
Big Bird: Transformers for Longer Sequences
NIPS 2020