Ananth Grama
9 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5)
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Cross-Pollinator
(14)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(20)
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Grand Slam
Conferences
ICML (3)
NIPS (2)
AAAI (1)
COLT (1)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
online learning
(3)
information theory
(2)
fmri analysis
(1)
stochastic gradient descent
(1)
fourier expansion
(1)
minimax optimality
(1)
quantum computing
(1)
quantum machine learning
(1)
online classification
(1)
regret minimization
(1)
vc dimension
(1)
neuronal responses
(1)
scalable training
(1)
minimax risk
(1)
minimax regret
(1)
sequential probability assignment
(1)
logarithmic loss
(1)
noisy label
(1)
archetypal analysis
(1)
non-stationary process
(1)
Papers
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
ICML 2025
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
ICLR 2025
A Theory of Fault-Tolerant Learning
ICML 2024
Information-theoretic Limits of Online Classification with Noisy Labels
NIPS 2024
Online Learning in Dynamically Changing Environments
COLT 2023
Learning Functional Distributions with Private Labels
ICML 2023
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
NIPS 2022
Toward Physically Realizable Quantum Neural Networks
AAAI 2022
Characterizing Similarity of Visual Stimulus from Associated Neuronal Response
IJCAI 2020