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- David Gamarnik
MIT Sloan School of Management
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Publication search results
found 133 matches
- 2024
- David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Hardness of Random Optimization Problems for Boolean Circuits, Low-Degree Polynomials, and Langevin Dynamics. SIAM J. Comput. 53(1): 1-46 (2024) - David Gamarnik, Mihyun Kang, Pawel Pralat:
Cliques, Chromatic Number, and Independent Sets in the Semi-random Process. SIAM J. Discret. Math. 38(3): 2312-2334 (2024) - David Gamarnik, Devin Smedira:
Integrating High-Dimensional Functions Deterministically. CoRR abs/2402.08232 (2024) - Ahmed El Alaoui, David Gamarnik:
Hardness of sampling solutions from the Symmetric Binary Perceptron. CoRR abs/2407.16627 (2024) - Houssam El Cheairi, David Gamarnik:
Algorithmic Universality, Low-Degree Polynomials, and Max-Cut in Sparse Random Graphs. CoRR abs/2412.18014 (2024) - 2023
- David Gamarnik:
Correlation decay and the absence of zeros property of partition functions. Random Struct. Algorithms 62(1): 155-180 (2023) - David Gamarnik, Eren C. Kizildag, Will Perkins, Changji Xu:
Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization. COLT 2023: 3231-3263 - David Gamarnik, Eren C. Kizildag, Will Perkins, Changji Xu:
Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization. CoRR abs/2302.06485 (2023) - David Gamarnik, Mihyun Kang
, Pawel Pralat:
Cliques, Chromatic Number, and Independent Sets in the Semi-random Process. CoRR abs/2303.13443 (2023) - David Gamarnik:
Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~\cite{schuetz2022combinatorial}, \cite{angelini2023modern}, \cite{schuetz2023reply}. CoRR abs/2306.02555 (2023) - David Gamarnik, Elchanan Mossel, Ilias Zadik:
Sharp Thresholds Imply Circuit Lower Bounds: from random 2-SAT to Planted Clique. CoRR abs/2311.04204 (2023) - David Gamarnik, Devin Smedira:
Computing the Volume of a Restricted Independent Set Polytope Deterministically. CoRR abs/2312.03906 (2023) - 2022
- David Gamarnik
, John N. Tsitsiklis, Martin Zubeldia
:
Stability, Memory, and Messaging Trade-Offs in Heterogeneous Service Systems. Math. Oper. Res. 47(3): 1862-1874 (2022) - David Gamarnik
, Eren C. Kizildag
, Ilias Zadik:
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks. IEEE Trans. Signal Process. 70: 1310-1319 (2022) - Joao Basso, David Gamarnik, Song Mei, Leo Zhou
:
Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models. FOCS 2022: 335-343 - David Gamarnik, Eren C. Kizildag, Will Perkins, Changji Xu:
Algorithms and Barriers in the Symmetric Binary Perceptron Model. FOCS 2022: 576-587 - David Gamarnik, Eren C. Kizildag:
The Random Number Partitioning Problem: Overlap Gap Property and Algorithmic Barriers. ISIT 2022: 778-783 - David Gamarnik, Eren C. Kizildag, Will Perkins, Changji Xu:
Algorithms and Barriers in the Symmetric Binary Perceptron Model. CoRR abs/2203.15667 (2022) - Joao Basso, David Gamarnik, Song Mei, Leo Zhou:
Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models. CoRR abs/2204.10306 (2022) - David Gamarnik, Cristopher Moore, Lenka Zdeborová:
Disordered Systems Insights on Computational Hardness. CoRR abs/2210.08312 (2022) - 2021
- David Gamarnik, Eren C. Kizildag
, Ilias Zadik:
Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection. IEEE Trans. Inf. Theory 67(12): 8109-8139 (2021) - David Gamarnik, Eren C. Kizildag, Ilias Zadik:
Self-Regularity of Output Weights for Overparameterized Two-Layer Neural Networks. ISIT 2021: 819-824 - David Gamarnik, Eren C. Kizildag, Ilias Zadik:
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks. CoRR abs/2103.01887 (2021) - David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Circuit Lower Bounds for the p-Spin Optimization Problem. CoRR abs/2109.01342 (2021) - David Gamarnik:
The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures. CoRR abs/2109.14409 (2021) - 2020
- Uriel Feige, David Gamarnik, Joe Neeman, Miklós Z. Rácz, Prasad Tetali:
Finding cliques using few probes. Random Struct. Algorithms 56(1): 142-153 (2020) - David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. FOCS 2020: 131-140 - David Gamarnik, Eren C. Kizildag:
Computing the Partition Function of the Sherrington-Kirkpatrick Model is Hard on Average. ISIT 2020: 2837-2842 - Matt Emschwiller, David Gamarnik, Eren C. Kizildag, Ilias Zadik:
Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena. CoRR abs/2003.10523 (2020) - Edward Farhi, David Gamarnik, Sam Gutmann:
The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case. CoRR abs/2004.09002 (2020)
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