Matey Neykov
7 papers · 2016–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6)
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Cross-Pollinator
(3)
πΊοΈ
Taxonomy Completionist
(18)
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Trend Setter
Conferences
JMLR (4)
AISTATS (2)
NIPS (1)
Top co-authors
Keywords
high-dimensional statistics
(3)
semi-parametric estimation
(2)
convex optimization
(2)
phase retrieval
(2)
support recovery
(1)
exponential loss
(1)
empirical risk minimization
(1)
high-dimensional regression
(1)
sparse estimation
(1)
conditional probability
(1)
lasso regression
(1)
gaussian regression
(1)
high dimensional statistics
(1)
isotonic regression
(1)
minimax optimality
(1)
boosting algorithm
(1)
lipchitz function
(1)
loss function
(1)
electronic health record
(1)
semi-supervised learning
(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
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
JMLR 2016
Agnostic Estimation for Misspecified Phase Retrieval Models
NIPS 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
JMLR 2016