Yaniv Plan
4 papers · 2016–2021 · 2 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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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
π
Trend Setter
Venues
Top co-authors
Research topics
Keywords
learning theory
(1)
sparse recovery
(1)
compressed sensing
(1)
stochastic gradient descent
(1)
sample complexity
(1)
computational complexity
(1)
sample compression
(1)
strongly convex
(1)
restricted isometry property
(1)
generative model inversion
(1)
distribution learning
(1)
nonsmooth optimization
(1)
gaussian distribution
(1)
deep generative network
(1)
gaussian mixture
(1)
high probability bound
(1)
mixture of gaussian
(1)
recovery guarantee
(1)
average-case hardness
(1)
latent code recovery
(1)
Papers
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
NeurIPS 2021
Tight analyses for non-smooth stochastic gradient descent
COLT 2019
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
NeurIPS 2018
Average-case hardness of RIP certification
NeurIPS 2016