Vasilis Kontonis
24 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π Academic Marathon (5) π Conference Polyglot (4) π Renaissance Researcher (5)
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Taxonomy Completionist
(28)
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Keyword Pioneer
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(15)
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Deep Specialist
(11)
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Prolific Year
(5)
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(79)
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Century Club
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Unstoppable
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Conferences
NIPS (10)
COLT (9)
ICML (4)
ICLR (1)
Top co-authors
Keywords
adversarial label noise
(4)
sample complexity
(4)
massart noise
(3)
pac learning
(3)
log-concave distribution
(3)
agnostic learning
(3)
halfspace learning
(3)
learning theory
(3)
statistical query
(2)
non-convex optimization
(2)
proper learning
(2)
stochastic gradient descent
(2)
testable learning
(2)
gaussian distribution
(2)
halfspace classification
(2)
self-directed learning
(2)
online classification
(1)
semi-supervised learning
(1)
active learning
(1)
knowledge distillation
(1)
Papers
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
ICML 2025
Learning general Gaussian mixtures with efficient score matching
COLT 2025
Oracle efficient truncated statistics
ICLR 2025
Online Linear Classification with Massart Noise
ICML 2025
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
NIPS 2024
Active Classification with Few Queries under Misspecification
NIPS 2024
Efficient Discrepancy Testing for Learning with Distribution Shift
NIPS 2024
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
NIPS 2023
The Gain from Ordering in Online Learning
NIPS 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
NIPS 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
NIPS 2023
Self-Directed Linear Classification
COLT 2023
Linear Label Ranking with Bounded Noise
NIPS 2022
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
ICML 2022
Weighted Distillation with Unlabeled Examples
NIPS 2022
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent
COLT 2022
A Statistical Taylor Theorem and Extrapolation of Truncated Densities
COLT 2021
Agnostic Proper Learning of Halfspaces under Gaussian Marginals
COLT 2021
Efficient Algorithms for Learning from Coarse Labels
COLT 2021
Learning Online Algorithms with Distributional Advice
ICML 2021
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
NIPS 2020
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks
COLT 2020
Learning Halfspaces with Massart Noise Under Structured Distributions
COLT 2020