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ORCIDSophie Huiberts
Person information
- affiliation: Clermont Auvergne University, LIMOS, Clermont-Ferrand, France
- affiliation: Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
- affiliation (PhD 2022): Utrecht University, The Netherlands
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2020 – today
- 2024
[j4]Daniel Dadush
, Sophie Huiberts, Bento Natura, László A. Végh:
A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. Math. Program. 204(1): 135-206 (2024)- 2023
- [j3]Sander Borst, Daniel Dadush, Sophie Huiberts, Samarth Tiwari:
On the integrality gap of binary integer programs with Gaussian data. Math. Program. 197(2): 1221-1263 (2023) - [c7]Sander Borst, Daniel Dadush, Sophie Huiberts, Danish Kashaev:
A Nearly Optimal Randomized Algorithm for Explorable Heap Selection. IPCO 2023: 29-43 - [c6]Sophie Huiberts, Yin Tat Lee, Xinzhi Zhang:
Upper and Lower Bounds on the Smoothed Complexity of the Simplex Method. STOC 2023: 1904-1917 - 2022
- [j2]Sophie Huiberts:
Prizes and Prejudice. Bull. EATCS 138 (2022) - [c5]Gilles Bonnet, Daniel Dadush, Uri Grupel, Sophie Huiberts, Galyna Livshyts:
Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes. SoCG 2022: 18:1-18:15 - [c4]Daniel Dadush, Christopher Hojny, Sophie Huiberts, Stefan Weltge:
A Simple Method for Convex Optimization in the Oracle Model. IPCO 2022: 154-167 - [i7]Sander Borst, Daniel Dadush, Sophie Huiberts, Danish Kashaev:
A nearly optimal randomized algorithm for explorable heap selection. CoRR abs/2210.05982 (2022) - [i6]Sophie Huiberts, Yin Tat Lee, Xinzhi Zhang:
Upper and Lower Bounds on the Smoothed Complexity of the Simplex Method. CoRR abs/2211.11860 (2022) - 2021
- [c3]Sander Borst, Daniel Dadush, Sophie Huiberts, Samarth Tiwari:
On the Integrality Gap of Binary Integer Programs with Gaussian Data. IPCO 2021: 427-442 - [i5]Gilles Bonnet, Daniel Dadush, Uri Grupel, Sophie Huiberts, Galyna Livshyts:
Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes. CoRR abs/2112.13027 (2021) - 2020
- [j1]Daniel Dadush, Sophie Huiberts:
A Friendly Smoothed Analysis of the Simplex Method. SIAM J. Comput. 49(5) (2020) - [c2]Daniel Dadush, Sophie Huiberts, Bento Natura, László A. Végh:
A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. STOC 2020: 761-774 - [p1]Daniel Dadush, Sophie Huiberts:
Smoothed Analysis of the Simplex Method. Beyond the Worst-Case Analysis of Algorithms 2020: 309-333 - [i4]Daniel Dadush, Christopher Hojny, Sophie Huiberts, Stefan Weltge:
Simple Iterative Methods for Linear Optimization over Convex Sets. CoRR abs/2011.08557 (2020) - [i3]Sander Borst, Daniel Dadush, Sophie Huiberts, Samarth Tiwari:
On the Integrality Gap of Binary Integer Programs with Gaussian Data. CoRR abs/2012.08346 (2020)
2010 – 2019
- 2019
- [i2]Daniel Dadush, Sophie Huiberts, Bento Natura, László A. Végh:
A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. CoRR abs/1912.06252 (2019) - 2018
- [c1]Daniel Dadush, Sophie Huiberts:
A friendly smoothed analysis of the simplex method. STOC 2018: 390-403 - 2017
- [i1]Daniel Dadush, Sophie Huiberts:
A Friendly Smoothed Analysis of the Simplex Method. CoRR abs/1711.05667 (2017)
Coauthor Index
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last updated on 2024-05-02 23:58 CEST by the dblp team
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