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Ilias Zadik

Yale University (per OpenAlex) · ORCID · OpenAlex

8 papers in scope · 7 published · 1 on the econ.EM arXiv · 64 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Isaac Meza
  2. Aleh Tsyvinski
  3. Koen Jochmans
  4. Jesper Sørensen
  5. Stéphane Bonhomme
  6. J. M. Fry
  7. Denis Chetverikov
  8. Martin Weidner
  9. Greg Lewis
  10. Ganesh Karapakula
  11. Victor Chernozhukov
  12. Ashesh Rambachan
  13. Vasilis Syrgkanis
  14. Christian Hansen
  15. Daniel Chen
  16. Alexandre Belloni
  17. Whitney K. Newey
  18. Rahul Singh
  19. Iván Fernández-Val
  20. Davide Viviano

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 8)

Sparse high-dimensional linear regression. Estimating squared error and a phase transition
published2022 · The Annals of Statistics · 8 citations
with David Gamarnik
The Annals of Statistics
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks
published2022 · IEEE Transactions on Signal Processing · 3 citations · first circulated 2021
with David Gamarnik, Eren C. Kızıldağ
IEEE Transactions on Signal Processing
Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection
published2021 · IEEE Transactions on Information Theory · 1 citations
with David Gamarnik, Eren C. Kızıldağ
IEEE Transactions on Information Theory
Group testing and local search: is there a computational-statistical gap?
published2021 · Conference on Learning Theory · 4 citations · first circulated 2020
with Fotis Iliopoulos
Conference on Learning Theory
The All-or-Nothing Phenomenon in Sparse Tensor PCA
published2020 · Neural Information Processing Systems · 7 citations
with Jonathan Niles-Weed
Neural Information Processing Systems
High Dimensional Linear Regression using Lattice Basis Reduction
published2018 · Neural Information Processing Systems · 5 citations
with David Gamarnik
Neural Information Processing Systems
Orthogonal Machine Learning: Power and Limitations
working paper2017 · arXiv · 8 citations
with Lester Mackey, Vasilis Syrgkanis
Paper profile arXiv arXiv:1711.00342
High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition.
published2017 · Conference on Learning Theory · 28 citations
with David Gamarnik
Conference on Learning Theory

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.