Daniel Dadush

Orcid: 0000-0001-5577-5012

Affiliations:
  • Centrum Wiskunde & Informatica, Amsterdam, The Netherlands


According to our database1, Daniel Dadush authored at least 62 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix.
Math. Program., March, 2024

Strongly Polynomial Frame Scaling to High Precision.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023
On the integrality gap of binary integer programs with Gaussian data.
Math. Program., February, 2023

Integrality Gaps for Random Integer Programs via Discrepancy.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Optimizing Low Dimensional Functions over the Integers.
Proceedings of the Integer Programming and Combinatorial Optimization, 2023

From Approximate to Exact Integer Programming.
Proceedings of the Integer Programming and Combinatorial Optimization, 2023

A Nearly Optimal Randomized Algorithm for Explorable Heap Selection.
Proceedings of the Integer Programming and Combinatorial Optimization, 2023

2022
A new framework for matrix discrepancy: partial coloring bounds via mirror descent.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

On finding exact solutions of linear programs in the oracle model.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

On Circuit Diameter Bounds via Circuit Imbalances.
Proceedings of the Integer Programming and Combinatorial Optimization, 2022

A Simple Method for Convex Optimization in the Oracle Model.
Proceedings of the Integer Programming and Combinatorial Optimization, 2022

Interior point methods are not worse than Simplex.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes.
Proceedings of the 38th International Symposium on Computational Geometry, 2022

2021
Geometric Rescaling Algorithms for Submodular Function Minimization.
Math. Oper. Res., 2021

Majorizing Measures for the Optimizer.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

An Accelerated Newton-Dinkelbach Method and Its Application to Two Variables per Inequality Systems.
Proceedings of the 29th Annual European Symposium on Algorithms, 2021

2020
A Friendly Smoothed Analysis of the Simplex Method.
SIAM J. Comput., 2020

Rescaling Algorithms for Linear Conic Feasibility.
Math. Oper. Res., 2020

Simple Iterative Methods for Linear Optimization over Convex Sets.
CoRR, 2020

Revisiting Tardos's Framework for Linear Programming: Faster Exact Solutions using Approximate Solvers.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

On the Complexity of Branching Proofs.
Proceedings of the 35th Computational Complexity Conference, 2020

Smoothed Analysis of the Simplex Method.
Proceedings of the Beyond the Worst-Case Analysis of Algorithms, 2020

2019
Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem.
Theory Comput., 2019

The Gram-Schmidt Walk: A Cure for the Banaszczyk Blues.
Theory Comput., 2019

AWGN-Goodness Is Enough: Capacity-Achieving Lattice Codes Based on Dithered Probabilistic Shaping.
IEEE Trans. Inf. Theory, 2019

An Algorithm for Komlós Conjecture Matching Banaszczyk's Bound.
SIAM J. Comput., 2019

On approximating the covering radius and finding dense lattice subspaces.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

2018
Fast, Deterministic and Sparse Dimensionality Reduction.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Lattice-based Locality Sensitive Hashing is Optimal.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Balancing Vectors in Any Norm.
Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

2017
AWGN-Goodness is Enough: Capacity-Achieving Lattice Codes based on Dithered Probabilistic Shaping.
CoRR, 2017

2016
Lattice Sparsification and the Approximate Closest Vector Problem.
Theory Comput., 2016

On the Shadow Simplex Method for Curved Polyhedra.
Discret. Comput. Geom., 2016

Rescaling Algorithms for Linear Programming - Part I: Conic feasibility.
CoRR, 2016

Rescaled Coordinate Descent Methods for Linear Programming.
Proceedings of the Integer Programming and Combinatorial Optimization, 2016

Towards Strong Reverse Minkowski-Type Inequalities for Lattices.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

On the Lattice Distortion Problem.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015
On the existence of 0/1 polytopes with high semidefinite extension complexity.
Math. Program., 2015

Solving the Shortest Vector Problem in 2<sup>n</sup> Time Using Discrete Gaussian Sampling: Extended Abstract.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Short Paths on the Voronoi Graph and Closest Vector Problem with Preprocessing.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Solving the Closest Vector Problem in 2^n Time - The Discrete Gaussian Strikes Again!
Proceedings of the IEEE 56th Annual Symposium on Foundations of Computer Science, 2015

Faster Deterministic Volume Estimation in the Oracle Model via Thin Lattice Coverings.
Proceedings of the 31st International Symposium on Computational Geometry, 2015

2014
On the Chvátal-Gomory closure of a compact convex set.
Math. Program., 2014

Solving the Shortest Vector Problem in $2^n$ Time via Discrete Gaussian Sampling.
CoRR, 2014

A Randomized Sieving Algorithm for Approximate Integer Programming.
Algorithmica, 2014

On the Closest Vector Problem with a Distance Guarantee.
Proceedings of the IEEE 29th Conference on Computational Complexity, 2014

2013
Near-optimal deterministic algorithms for volume computation via M-ellipsoids.
Proc. Natl. Acad. Sci. USA, 2013

A Deterministic Polynomial Space Construction for eps-nets under any Norm.
CoRR, 2013

Algorithms for the Densest Sub-Lattice Problem.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

On the Lattice Smoothing Parameter Problem.
Proceedings of the 28th Conference on Computational Complexity, 2013

2012
Deterministic 2^{O(n)} Algorithms for M-Ellipsoids, Lattice Problems and Volume Estimation
CoRR, 2012

Unconditional differentially private mechanisms for linear queries.
Proceedings of the 44th Symposium on Theory of Computing Conference, 2012

Deterministic construction of an approximate M-ellipsoid and its applications to derandomizing lattice algorithms.
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

A O(1/ε 2) n -Time Sieving Algorithm for Approximate Integer Programming.
Proceedings of the LATIN 2012: Theoretical Informatics, 2012

2011
The split closure of a strictly convex body.
Oper. Res. Lett., 2011

The Chvátal-Gomory Closure of a Strictly Convex Body.
Math. Oper. Res., 2011

A O(1/eps^2)^n Time Sieving Algorithm for Approximate Integer Programming
CoRR, 2011

Deterministic Construction of an Approximate M-Ellipsoid and its Application to Derandomizing Lattice Algorithms
CoRR, 2011

Enumerative Lattice Algorithms in any Norm Via M-ellipsoid Coverings.
Proceedings of the IEEE 52nd Annual Symposium on Foundations of Computer Science, 2011

2010
Enumerative Algorithms for the Shortest and Closest Lattice Vector Problems in Any Norm via M-Ellipsoid Coverings
CoRR, 2010

Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

2009
Thin Partitions: Isoperimetric Inequalities and Sampling Algorithms for some Nonconvex Families
CoRR, 2009


  Loading...