Konstantinos Stavropoulos
13 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(4)
π
Keyword Champion
(4)
π
Century Club
(13)
β‘
Prolific Year
(7)
π₯
Unstoppable
(5)
Conferences
NIPS (6)
COLT (4)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
testable learning
(4)
sample complexity
(4)
distribution shift
(4)
learning theory
(3)
agnostic learning
(2)
domain adaptation
(2)
stochastic process
(1)
exponential family
(1)
pac learning
(1)
label noise
(1)
logistic regression
(1)
ranking aggregation
(1)
bregman divergence
(1)
distribution testing
(1)
mallows model
(1)
statistical query
(1)
polynomial regression
(1)
halfspace classification
(1)
classification error
(1)
active learning
(1)
Papers
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
ICLR 2025
Learning Constant-Depth Circuits in Malicious Noise Models
COLT 2025
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
NIPS 2024
An Efficient Tester-Learner for Halfspaces
ICLR 2024
Efficient Discrepancy Testing for Learning with Distribution Shift
NIPS 2024
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
NIPS 2024
Testable Learning with Distribution Shift
COLT 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Agnostically Learning Single-Index Models using Omnipredictors
NIPS 2023
Tester-Learners for Halfspaces: Universal Algorithms
NIPS 2023
Learning and Covering Sums of Independent Random Variables with Unbounded Support
NIPS 2022
Aggregating Incomplete and Noisy Rankings
AISTATS 2021