Gautam Chandrasekaran
5 papers · 2023–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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The Questioner
Venues
Top co-authors
Research topics
Keywords
distribution shift
(2)
domain adaptation
(2)
learning theory
(2)
agnostic learning
(1)
stochastic process
(1)
classification error
(1)
follow the perturbed leader
(1)
regret bound
(1)
generalized linear model
(1)
massart noise
(1)
smoothed analysis
(1)
margin halfspace
(1)
theoretical guarantee
(1)
proper learning
(1)
margin analysis
(1)
neural network
(1)
gaussian perturbation
(1)
testable learning
(1)
multi-index model
(1)
gaussian surface area
(1)
Papers
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
ICLR 2025
Efficient Discrepancy Testing for Learning with Distribution Shift
NeurIPS 2024
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
NeurIPS 2024
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Learning in online MDPs: is there a price for handling the communicating case?
UAI 2023