Daniel Dadush

Office: Room M234
Phone: +31 20 592 4210
Email: dadush AT cwi DOT nl



I am the leader of the Networks & Optimization group, and a full professor at Utrecht University in the department of Mathematics. Previously, I was a Simons Postdoctoral Fellow for 2 years at the Courant Institute of Mathematical Sciences at New York University. I completed my PhD in 2012 within the ACO (Algorithms, Combinatorics, and Optimization) program at Georgia Tech.

Events:

N&O Optimization Seminar:

Please visit the seminar website for information about the current schedule and past talks.

Dutch Seminar on Optimization:

I am a co-organizer for the (online) Dutch Seminar on Optimization. Please see the seminar website for more information. If you'd like to join the seminar mailing list, please email Cedric Koh (zhuan.koh@cwi.nl).

Students and Interns:

Teaching:


Here's my curriculum vitae (CV) (last updated January 2023).

Research Interests:

Research Grants:

Research Awards:

Program Committees:

SODA 2024, FOCS 2022, SODA 2022, ESA 2020, IPCO 2020, MIP 2019, SODA 2019, IPCO 2017, ESA 2014.

Research Publications:

Surveys and Book Chapters:

  1. Smoothed Analysis of the Simplex Method
    with S. Huiberts. Invited chapter in Beyond Worst Case Analysis (editor Tim Roughgarden), December 2020.

Conference & Journal Publications:

  1. From Approximate to Exact Integer Programming
    with F. Eisenbrand, T. Rothvoss. IPCO 2023 (Best paper award).
  2. A Nearly Optimal Randomized Algorithm for Explorable Heap Selection
    with S. Borst, D. Dadush, D. Kashaev, S. Huiberts. IPCO 2023.
  3. Optimizing Low Dimensional Functions over the Integers
    with A. Leonard, L. Rohwedder, J. Verschae. IPCO 2023.
  4. Integrality Gaps for Random Integer Programs via Discrepancy
    with S. Borst, D. Mikulincer. SODA 2023.
  5. Interior Point Methods are not worse than Simplex
    with X. Allamigeon, G. Loho, B. Natura, L. Végh. FOCS 2022.
  6. A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent
    with H. Jiang, V. Reis. STOC 2022.
  7. On Circuit Diameter Bounds via Circuit Imbalances
    with Z.K. Koh, B. Natura, L. Végh. IPCO 2022.
  8. A Simple Method for Convex Optimization in the Oracle Model
    with C. Hojny, S. Huiberts, S. Weltge. Mathematical Programming, 2023.
    Preliminary version in IPCO 2022.
  9. Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes
    with G. Bonnet, U. Grupel, S. Huiberts, G. Livshyts. SOCG 2022.
  10. On Finding Exact Solutions of Linear Programs in the Oracle Model
    with L. Végh, G. Zambelli. SODA 2022.
  11. An Accelerated Newton-Dinkelbach Method and its Application to Two Variables Per Inequality Systems
    with Z.K. Koh, B. Natura, L. Végh. Mathematics of Operations Research, 2022.
    Preliminary version in ESA 2021.
  12. On the Integrality Gap of Binary Integer Programs with Gaussian Data
    with S. Borst, S. Huiberts, S. Tiwari. Mathematical Programming, 2023.
    Preliminary version in IPCO 2021.
  13. Majorizing Measures for the Optimizers
    with S. Borst, N. Olver, M. Sinha. ITCS 2021.
  14. Revisiting Tardos' Framework for Linear Programming: Faster Exact Solutions using Approximate Solvers
    B. Natura, L. Végh. FOCS 2020.
  15. On the Complexity of Branching Proofs
    with S. Tiwari. CCC 2020 (Best paper award).
  16. A Scaling-Invariant Algorithm for Linear Programming whose Running Time Depends only on the Constraint Matrix
    with S. Huiberts, B. Natura, L. Végh. Mathematical Programming, 2023.
    Preliminary version in STOC 2020.
  17. On Approximating the Covering Radius and Finding Dense Lattice Subspaces (slides)
    STOC 2019.
  18. AWGN-Goodness is Enough: Capacity-Achieving Lattice Codes based on Dithered Probabilistic Shaping
    with A. Campello, C. Long. IEEE Transactions on Information Theory, 2019.
  19. Balancing Vectors in Any Norm
    with S. Nikolov, K. Talwar, N. Tomczak-Jaegermann. FOCS 2018.
  20. A Friendly Smoothed Analysis of the Simplex Method
    with S. Huiberts. SIAM Journal on Computing, 2020.
    Special edition for STOC 2018.
  21. The Gram-Schmidt Walk: A Cure for the Banaszczyk Blues
    with N. Bansal, S. Garg, S. Lovett. Theory of Computing, 2019.
    Preliminary version in STOC 2018.
  22. Lattice based Locality Sensitive Hashing is Optimal (extended abstract)
    with C. Chandrasekaran, E. Grigorescu, V. Gandikota. ITCS 2018.
  23. Geometric Rescaling Algorithms for Submodular Function Minimization
    with L. Végh, G. Zambelli. Mathematics of Operations Research, 2021.
    Preliminary version in SODA 2018.
  24. Fast, Deterministic and Sparse Dimensionality Reduction
    with C. Guzman, N. Olver. SODA 2018.
  25. Rescaling Algorithms for Linear Conic Feasibility
    with L. Végh, G. Zambelli. Mathematics of Operations Research, 2020.
  26. Towards Strong Reverse Minkowski Type Inequalities for Lattices
    with O. Regev. FOCS 2016.
  27. An Algorithm for the Komlós Conjecture Matching Banaszczyk's Bound
    with N. Bansal, S. Garg. SIAM Journal of Computing, 2019.
    Special edition for FOCS 2016.
  28. Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem
    with S. Garg, S. Lovett, A. Nikolov. Theory of Computing, 2019.
    Special edition for APPROX-RANDOM 2016.
  29. On the Lattice Distortion Problem
    with H. Bennett, N. Stephens-Davidowitz. ESA 2016.
  30. Rescaled Coordinate Descent Methods for Linear Programming
    with L. Végh, G. Zambelli. IPCO 2016.
  31. Solving the Closest Vector Problem in 2^n Time: The Discrete Gaussian Strikes Again! (slides)
    with D. Aggarwal, N. Stephens-Davidowitz. FOCS 2015.
  32. Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling (slides)
    with D. Aggarwal, O. Regev, N. Stephens-Davidowitz. STOC 2015.
  33. Faster Deterministic Volume Estimation in the Oracle Model via Thin Lattice Coverings (slides)
    SOCG 2015.
  34. On the Shadow Simplex Method for Curved Polyhedra (slides)
    with N. Hähnle. Discrete & Computational Geometry, 2016.
    Preliminary version in SOCG 2015.
  35. Short Paths on the Voronoi Graph and the Closest Vector Problem with Preprocessing (slides)
    with N. Bonifas. SODA 2015.
  36. On the Closest Vector Problem with a Distance Guarantee
    with O. Regev, N. Stephens-Davidowitz. CCC 2014.
  37. On the existence of 0/1 polytopes with High Semidefinite Extension Complexity (slides)
    with J. Briet, S. Pokutta. Mathematical Programming, 2015.
    Preliminary version in ESA 2013.
  38. On the Lattice Smoothing Parameter Problem (slides)
    with K.M. Chung, F.H. Liu, C. Peikert. CCC 2013.
  39. Lattice Sparsification and the Approximate Closest Vector Problem (slides)
    with G. Kun. Theory of Computing, 2016.
    Preliminary version in SODA 2013.
  40. Algorithms for the Densest Sublattice Problem
    with D. Micciancio. SODA 2013.
  41. Near-Optimal Deterministic Algorithms for Volume Computation via M-Ellipsoids (slides)
    with S. Vempala. Proceedings of the National Academy of Sciences, 2013.
  42. Unconditional Differentially Private Mechanisms for Linear Queries
    with A. Bhaskara, R. Krishnaswamy, K. Talwar. STOC 2012.
  43. A Randomized Sieving Algorithm for Approximate Integer Programming (slides)
    Algorithmica, 2014.
    Preliminary version in LATIN 2012.
  44. Deterministic Construction of an Approximate M-Ellipsoid and its Applications to Derandomizing Lattice Algorithms
    with S. Vempala. SODA 2012.
  45. On the Chvátal-Gomory Closure of a Compact Convex Set (slides)
    with S.S. Dey, J.P. Vielma. Mathematical Programming, 2014.
    Preliminary version in IPCO 2011.
    Optimization Society Student Paper Prize, 2011.
  46. The Split Closure of a Strictly Convex Body
    with S.S. Dey, J.P. Vielma. Operations Research Letters, 2011.
  47. The Chvátal-Gomory Closure of a Strictly Convex Body
    with S.S. Dey, J.P. Vielma. Mathematics of Operations Research, 2011.
    INFORMS JFIG Paper Competition Finalist.
  48. Enumerative Lattice Algorithms in Any Norm via M-Ellipsoid Coverings (slides)
    with C. Peikert, S. Vempala. FOCS 2011.
  49. Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies
    with C. Chandresekaran, S. Vempala. SODA 2010.

PhD Thesis: