Matey Neykov
7 papers · 2016–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
high-dimensional statistics
(3)
convex optimization
(2)
semiparametric estimation
(2)
phase retrieval
(2)
empirical risk minimization
(1)
isotonic regression
(1)
lasso regression
(1)
high-dimensional regression
(1)
conditional probability
(1)
support recovery
(1)
gaussian regression
(1)
exponential loss
(1)
boosting algorithm
(1)
lipchitz function
(1)
loss function
(1)
electronic health record
(1)
single-index model
(1)
convex constraint
(1)
constrained least square
(1)
adaptive estimation
(1)
Papers
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
JMLR 2022
Agnostic Estimation for Phase Retrieval
JMLR 2020
Gaussian Regression with Convex Constraints
AISTATS 2019
Tossing Coins Under Monotonicity
AISTATS 2019
Agnostic Estimation for Misspecified Phase Retrieval Models
NeurIPS 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
JMLR 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
JMLR 2016