| 2026 | COLT | The Monotonicity of the Franz-Parisi Potential Is Equivalent to Low-Degree MMSE Lower Bounds: Extended Abstract. | Konstantinos Tsirkas, Leda Wang, Ilias Zadik |
| 2026 | COLT | Stable algorithms Lower Bounds for Estimation from MMSE Discontinuities: Extended Abstract. | Xifan Yu, Ilias Zadik |
| 2025 | ALT | On the Hardness of Learning One Hidden Layer Neural Networks. | Shuchen Li, Ilias Zadik, Manolis Zampetakis |
| 2025 | COLT | The Fundamental Limits of Recovering Planted Subgraphs (extended abstract). | Daniel Lee, Francisco Pernice, Amit Rajaraman, Ilias Zadik |
| 2024 | COLT | Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract. | Xifan Yu, Ilias Zadik, Peiyuan Zhang |
| 2024 | TCC | Low-Degree Security of the Planted Random Subgraph Problem. | Andrej Bogdanov, Chris Jones, Alon Rosen, Ilias Zadik |
| 2023 | COLT | Sharp thresholds in inference of planted subgraphs. | Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, Ilias Zadik |
| 2023 | SODA | Almost-Linear Planted Cliques Elude the Metropolis Process. | Zongchen Chen, Elchanan Mossel, Ilias Zadik |
| 2022 | COLT | Statistical and Computational Phase Transitions in Group Testing. | Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Alexander S. Wein, Ilias Zadik |
| 2022 | COLT | Lattice-Based Methods Surpass Sum-of-Squares in Clustering. | Ilias Zadik, Min Jae Song, Alexander S. Wein, Joan Bruna |
| 2021 | COLT | Group testing and local search: is there a computational-statistical gap? | Fotis Iliopoulos, Ilias Zadik |
| 2021 | COLT | It was "all" for "nothing": sharp phase transitions for noiseless discrete channels. | Jonathan Niles-Weed, Ilias Zadik |
| 2021 | ISIT | Self-Regularity of Output Weights for Overparameterized Two-Layer Neural Networks. | David Gamarnik, Eren C. Kizildag, Ilias Zadik |
| 2020 | COLT | Free Energy Wells and Overlap Gap Property in Sparse PCA. | Grard Ben Arous, Alexander S. Wein, Ilias Zadik |
| 2019 | COLT | The All-or-Nothing Phenomenon in Sparse Linear Regression. | Galen Reeves, Jiaming Xu, Ilias Zadik |
| 2019 | ICASSP | A Simple Bound on the BER of the Map Decoder for Massive MIMO Systems. | Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy |
| 2019 | ISIT | Improved bounds on Gaussian MAC and sparse regression via Gaussian inequalities. | Ilias Zadik, Yury Polyanskiy, Christos Thrampoulidis |
| 2018 | FOCS | Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation. | Christian Borgs, Jennifer T. Chayes, Adam D. Smith, Ilias Zadik |
| 2018 | ICML | Orthogonal Machine Learning: Power and Limitations. | Ilias Zadik, Lester W. Mackey, Vasilis Syrgkanis |
| 2017 | COLT | High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition. | David Gamarnik, Ilias Zadik |
| 2017 | IPCO | Mixed-Integer Convex Representability. | Miles Lubin, Ilias Zadik, Juan Pablo Vielma |