Dan Mikulincer
6 papers · 2020–2025 · 2 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (11) ๐ Academic Marathon (5) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (2) ๐บ๏ธ Taxonomy Completionist (10)
๐งญ
Keyword Pioneer
๐
Trend Setter
Conferences
COLT (3)
NIPS (3)
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)
relu activation
(1)
stationary point
(1)
approximation theory
(1)
activation function
(1)
neural network approximation
(1)
network depth
(1)
central limit theorem
(1)
smooth function
(1)
convex geometry
(1)
neural network width
(1)
random weight
(1)
monotone function
(1)
neural network
(1)
Papers
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
COLT 2025
Size and depth of monotone neural networks: interpolation and approximation
NIPS 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
NIPS 2022
Non-asymptotic approximations of neural networks by Gaussian processes
COLT 2021
Network size and size of the weights in memorization with two-layers neural networks
NIPS 2020
How to Trap a Gradient Flow
COLT 2020