| Solving the Shortest Vector Problem in 2n Time Using Discrete Gaussian Sampling D Aggarwal, D Dadush, O Regev, N Stephens-Davidowitz Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 203 | 2015 |
| Enumerative lattice algorithms in any norm via M-ellipsoid coverings D Dadush, C Peikert, S Vempala 2011 IEEE 52nd annual symposium on foundations of computer science, 580-589, 2011 | 122 | 2011 |
| Solving the Closest Vector Problem in 2^ n Time--The Discrete Gaussian Strikes Again! D Aggarwal, D Dadush, N Stephens-Davidowitz 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 563-582, 2015 | 95 | 2015 |
| The gram-schmidt walk: a cure for the banaszczyk blues N Bansal, D Dadush, S Garg, S Lovett Proceedings of the 50th annual acm sigact symposium on theory of computing …, 2018 | 80 | 2018 |
| An algorithm for Komlós conjecture matching Banaszczyk's bound N Bansal, D Dadush, S Garg SIAM Journal on Computing 48 (2), 534-553, 2019 | 75 | 2019 |
| Integer programming, lattice algorithms, and deterministic volume estimation DN Dadush Georgia Institute of Technology, 2012 | 73 | 2012 |
| A friendly smoothed analysis of the simplex method D Dadush, S Huiberts Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018 | 67 | 2018 |
| Unconditional differentially private mechanisms for linear queries A Bhaskara, D Dadush, R Krishnaswamy, K Talwar Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012 | 61 | 2012 |
| On the closest vector problem with a distance guarantee D Dadush, O Regev, N Stephens-Davidowitz 2014 IEEE 29th Conference on Computational Complexity (CCC), 98-109, 2014 | 59 | 2014 |
| The split closure of a strictly convex body D Dadush, SS Dey, JP Vielma Operations Research Letters 39 (2), 121-126, 2011 | 59 | 2011 |
| On the existence of 0/1 polytopes with high semidefinite extension complexity J Briët, D Dadush, S Pokutta Mathematical Programming 153, 179-199, 2015 | 43 | 2015 |
| On the lattice smoothing parameter problem KM Chung, D Dadush, FH Liu, C Peikert 2013 IEEE Conference on Computational Complexity, 230-241, 2013 | 36 | 2013 |
| A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix D Dadush, S Huiberts, B Natura, LA Végh Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020 | 34 | 2020 |
| On the complexity of branching proofs D Dadush, S Tiwari arXiv preprint arXiv:2006.04124, 2020 | 33 | 2020 |
| On the shadow simplex method for curved polyhedra D Dadush, N Hähnle Discrete & Computational Geometry 56, 882-909, 2016 | 32 | 2016 |
| Short paths on the Voronoi graph and closest vector problem with preprocessing D Dadush, N Bonifas Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete …, 2014 | 29 | 2014 |
| Near-optimal deterministic algorithms for volume computation via M-ellipsoids D Dadush, SS Vempala Proceedings of the National Academy of Sciences 110 (48), 19237-19245, 2013 | 28 | 2013 |
| Geometric rescaling algorithms for submodular function minimization D Dadush, LA Végh, G Zambelli Mathematics of Operations Research 46 (3), 1081-1108, 2021 | 26 | 2021 |
| Revisiting Tardos's framework for linear programming: faster exact solutions using approximate solvers D Dadush, B Natura, LA Végh 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 26 | 2020 |
| On the Chvátal–Gomory closure of a compact convex set D Dadush, SS Dey, JP Vielma Mathematical Programming 145, 327-348, 2014 | 26 | 2014 |
László A. VéghDepartment of Mathematics, London School of Economics and Political ScienceVerified email at lse.ac.uk
