Arian Maleki
11 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (19)
π
Conference Polyglot
(4)
π
Academic Marathon
(13)
π
Keyword Champion
(2)
π
Century Club
(11)
Conferences
NIPS (4)
AISTATS (3)
ICML (3)
JMLR (1)
Top co-authors
Keywords
non-convex optimization
(2)
maximum likelihood
(2)
phase retrieval
(2)
high-dimensional regression
(2)
cross validation
(2)
expectation maximization
(2)
penalized regression
(2)
signal recovery
(2)
convergence analysis
(1)
l1 regularization
(1)
parameter estimation
(1)
asymptotic analysis
(1)
expectation propagation
(1)
approximate message passing
(1)
statistical modeling
(1)
regularization parameter
(1)
sparse inverse covariance
(1)
machine unlearning
(1)
signal-to-noise ratio
(1)
convex optimization
(1)
Papers
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
AISTATS 2025
Certified Machine Unlearning Under High Dimensional Regime
JMLR 2025
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers
AISTATS 2024
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
ICML 2024
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
NIPS 2021
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
AISTATS 2020
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
ICML 2018
Approximate message passing for amplitude based optimization
ICML 2018
Benefits of over-parameterization with EM
NIPS 2018
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
NIPS 2016
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
NIPS 2012