Ilias Zadik
TitleCited byYear
High dimensional regression with binary coefficients. estimating squared error and a phase transtition
G David, Z Ilias
Conference on Learning Theory, 948-953, 2017
Padé Approximants, density of rational functions in A∞(Ω) and smoothness of the integration operator
V Nestoridis, I Zadik
Journal of Mathematical Analysis and Applications 423 (2), 1514-1539, 2015
Regularity in mixed-integer convex representability
M Lubin, I Zadik, JP Vielma
arXiv preprint arXiv:1706.05135, 2017
Mixed-integer convex representability
M Lubin, I Zadik, JP Vielma
International Conference on Integer Programming and Combinatorial …, 2017
Orthogonal Machine Learning: Power and Limitations
I Zadik, L Mackey, V Syrgkanis
International Conference on Machine Learning, 5723-5731, 2018
Sparse high-dimensional linear regression. algorithmic barriers and a local search algorithm
D Gamarnik, I Zadik
arXiv preprint arXiv:1711.04952, 2017
Universal Padé approximants and their behaviour on the boundary
I Zadik
Monatshefte für Mathematik 182 (1), 173-193, 2017
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C Borgs, J Chayes, A Smith, I Zadik
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
High Dimensional Linear Regression using Lattice Basis Reduction
I Zadik, D Gamarnik
Advances in Neural Information Processing Systems, 1842-1852, 2018
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property
D Gamarnik, I Zadik
arXiv preprint arXiv:1904.07174, 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression
G Reeves, J Xu, I Zadik
arXiv preprint arXiv:1903.05046, 2019
A simple bound on the BER of the MAP decoder for massive MIMO systems
C Thrampoulidis, I Zadik, Y Polyanskiy
arXiv preprint arXiv:1903.03949, 2019
Private Algorithms Can be Always Extended
C Borgs, J Chayes, A Smith, I Zadik
arXiv preprint arXiv:1810.12518, 2018
A Note on the Density of Rational Functions in A1.
J Falcó, V Nestoridis, I Zadik
New Trends in Approximation Theory: In Memory of André Boivin 81, 27, 2018
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Articles 1–14