Dan Mikulincer
6 papers · 2020–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
differential privacy
(1)
robust statistics
(1)
high-dimensional statistics
(1)
gaussian process
(1)
gradient descent
(1)
oracle complexity
(1)
quantile estimation
(1)
gaussian distribution
(1)
relu activation
(1)
stationary point
(1)
gradient flow
(1)
lower bound
(1)
approximation theory
(1)
activation function
(1)
single-index model
(1)
neural network approximation
(1)
network depth
(1)
central limit theorem
(1)
smooth function
(1)
convex geometry
(1)
Papers
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
COLT 2025
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
NeurIPS 2022
Size and depth of monotone neural networks: interpolation and approximation
NeurIPS 2022
Non-asymptotic approximations of neural networks by Gaussian processes
COLT 2021
How to Trap a Gradient Flow
COLT 2020
Network size and size of the weights in memorization with two-layers neural networks
NeurIPS 2020