I am an Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign. I am also affiliated with the Department of Electrical and Computer Engineering.

Previously, I was a Distinguished Postdoctoral Fellow at Columbia University, Department of Statistics. I received my PhD in Electrical Engineering and Computer Science from MIT under the wonderful guidance of David Gamarnik. At MIT, I was affiliated with the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society (IDSS).

**You can find my CV here.**

**Planted Random Number Partitioning Problem**

Eren C. Kızıldağ

*Under review, 2024+*

[Paper]

**Sharp Phase Transition for Multi Overlap Gap Property in Ising p-Spin Glass and Random k-SAT Models**

Eren C. Kızıldağ

*Under review, 2024+*

[Paper]

**Shattering in the Ising Pure p-Spin Model**

David Gamarnik, Aukosh Jagannath, Eren C. Kızıldağ

*Under review, 2024+*

[Paper]

**Algorithmic Obstructions in the Random Number Partitioning Problem**

David Gamarnik, Eren C. Kızıldağ

*Annals of Applied Probability, 2023*

[Paper] [Slides] [Talk] [Poster]

Conference version in *ISIT 2022*

**Stationary Points of Shallow Neural Networks with Quadratic Activation Function**

David Gamarnik, Eren C. Kızıldağ, Ilias Zadik

*Mathematics of Operations Research, 2024*

[Paper] [Slides] [Talk]

**Symmetric Binary Perceptron with Random Labels: Capacity, Universality, and Overlap Gap Property**

Eren C. Kızıldağ, Tanay Wakhare

*Preprint, 2023*

**Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks**

David Gamarnik, Eren C. Kızıldağ, Ilias Zadik

*IEEE Transactions on Signal Processing, 2022*

[Paper] [Slides]

Conference version in *ISIT 2021*

**Computing the Partition Function of the Sherrington-Kirkpatrick Model is Hard on Average**

David Gamarnik, Eren C. Kızıldağ

*Annals of Applied Probability, 2021*

[Paper] [Slides]

Conference version in *ISIT 2020*

**Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection**

David Gamarnik, Eren C. Kızıldağ, Ilias Zadik

*IEEE Transactions on Information Theory, 2021*

[Paper]

**Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena**

Matt Emschwiller, David Gamarnik, Eren C. Kızıldağ, Ilias Zadik

*Preprint, 2020*

[Paper]

**A Random CSP with Connections to Discrepancy Theory and Randomized
Trials**

Eren C. Kızıldağ

*IEEE International Symposium on Information Theory (ISIT), 2024 *

[Extended Paper] [Slides]

**Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization**

David Gamarnik, Eren C. Kızıldağ, Will Perkins, Changji Xu

*Conference on Learning Theory (COLT), 2023*

[Paper]

**Symmetric Perceptron with Random Labels**

Eren C. Kızıldağ, Tanay Wakhare

*International Conference on Sampling Theory and Applications (SampTA), 2023*

[Paper] [Slides]

**Algorithms and Barriers in the Symmetric Binary Perceptron Model**

David Gamarnik, Eren C. Kızıldağ, Will Perkins, Changji Xu

*IEEE Symposium on Foundations of Computer Science (FOCS), 2022*

[Paper] [Slides] [Poster]

**The Random Number Partitioning Problem: Overlap Gap Property and Algorithmic Barriers**

David Gamarnik, Eren C. Kızıldağ

*IEEE International Symposium on Information Theory (ISIT), 2022*

[Paper]

**Self-Regularity of Output Weights for Overparameterized Two-Layer Neural Networks
**

David Gamarnik, Eren C. Kızıldağ, Ilias Zadik

*IEEE International Symposium on Information Theory (ISIT), 2021*

[Paper] [Slides]

**Computing the Partition Function of the Sherrington-Kirkpatrick Model is Hard on Average**

David Gamarnik, Eren C. Kızıldağ

*IEEE International Symposium on Information Theory (ISIT), 2020*

[Paper] [Slides]

**High-Dimensional Linear Regression and Phase Retrieval via PSLQ Integer
Relation Algorithm**

David Gamarnik, Eren C. Kızıldağ

*IEEE International Symposium on Information Theory (ISIT), 2019*

[Paper] [Slides]

**Algorithms and Algorithmic Barriers in
High-Dimensional Statistics and Random
Combinatorial Structures**

Ph.D thesis, Massachusetts Institute of Technology, 2022

[PDF]

I am a proud graduate of Ankara Science High School (AFL), class of 2010.