Continuous Approaches to Discrete Optimization

Continuous Approaches to Discrete Optimization

Hausdorff Center for Mathematics via YouTube Direct link

Jan Van den Brand: From Interior Point Methods to Data Structures and back

1 of 27

1 of 27

Jan Van den Brand: From Interior Point Methods to Data Structures and back

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Continuous Approaches to Discrete Optimization

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  1. 1 Jan Van den Brand: From Interior Point Methods to Data Structures and back
  2. 2 Rasmus Kyng: A numerical analysis approach to convex optimization
  3. 3 Yang Liu: Fully Dynamic Electrical Flows: Sparse Maxflow Faster than Goldberg-Rao
  4. 4 Debmalya Panigrahi: Isolating Cuts: A New Tool for Minimum Cut Algorithms
  5. 5 Sorrachai Yingchareonthawornchai: Approximating k-Edge-Connected Spanning Subgraphs via a Fast [...]
  6. 6 Kent Quanrud: On Iterative Peeling and Supermodularity for Densest Subgraph
  7. 7 Sally Dong: Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time
  8. 8 Bento Natura: Fast Exact Solvers for Linear Programs via Interior Point Methods
  9. 9 Jacek Gondzio: Applying interior point algorithms in column generation and cuttingplane methods
  10. 10 Andrea Lodi: Cutting Plane Generation Through Sparse Principal Component Analysis
  11. 11 Jens Vygen: Continuous approaches to VLSI routing
  12. 12 Robert Luce: Local and global solution of nonconvex quadratic problems
  13. 13 Aaron Sidford: Unit Capacity Maximum Flow in Almost m^(4/3) Time
  14. 14 Rico Zenklusen, Vera Traub: Bridging the Gap Between Tree and Connectivity Augmentation
  15. 15 Matthias Mnich: Approximation Algorithms for Hard Cut Problems via Continuous Relaxations
  16. 16 Sebastian Pokutta: A distributed accelerated algorithm for the 1-fair packing problem
  17. 17 Stefan Weltge: Speeding up the Cutting Plane Method?
  18. 18 Zhao Song: Fast Iterative Algorithm via Nearest/Furthest Neighbor Search
  19. 19 Alina Ene: Adaptive gradient descent methods for constrained optimization
  20. 20 Jelena Diakonikolas: Local Acceleration of Frank-Wolfe Methods
  21. 21 Roie Levin: Random Order Set Cover is as Easy as Offline
  22. 22 Gerard Cornuejols: Dyadic linear programming
  23. 23 Ola Svensson: Learning-Augmented Online Algorithms and the Primal-Dual Method
  24. 24 Anupam Gupta: Covering LP Relaxations for k-Server
  25. 25 Sebastian Bubeck: Chasing small sets
  26. 26 Haotian Jiang: Minimizing Convex Functions with Integral Minimizers
  27. 27 Deeparnab Chakrabarty: Polynomial Lower Bounds for Parallel Submodular Function Minimization

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