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20072026
most citedConstructive Algorithms for Discrepancy Minimization

38 citations · 157 across the 44 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cs.DS2016

Faster Space-Efficient Algorithms for Subset Sum, k-Sum and Related Problems

Nikhil Bansal, Shashwat Garg, Jesper Nederlof +1

We present space efficient Monte Carlo algorithms that solve Subset Sum and Knapsack instances with items using time and polynomial space, where the $O^*(\cdot…

cs.DS2016★ 2 cited

Algorithmic Discrepancy Beyond Partial Coloring

Nikhil Bansal, Shashwat Garg

The partial coloring method is one of the most powerful and widely used method in combinatorial discrepancy problems. However, in many cases it leads to sub-optimal bounds as the p…

cs.DS2016

The -Server Problem on Bounded Depth Trees

Nikhil Bansal, Marek Eliáš, Łukasz Jeż +1

We study the -server problem in the resource augmentation setting i.e., when the performance of the online algorithm with servers is compared to the offline optimal solution…

cs.DS2016

LP-Based Robust Algorithms for Noisy Minor-Free and Bounded Treewidth Graphs

Nikhil Bansal, Daniel Reichman, Seeun William Umboh

We give a general approach for solving optimization problems on noisy minor free graphs, where a δ-fraction of edges and vertices are adversarially corrupted. The noisy setting was…

cs.DS2016★ 9 cited

An Algorithm for Komlós Conjecture Matching Banaszczyk's bound

Nikhil Bansal, Daniel Dadush, Shashwat Garg

We consider the problem of finding a low discrepancy coloring for sparse set systems where each element lies in at most t sets. We give an efficient algorithm that finds a coloring…

cs.DS2016★ 3 cited

Improved Algorithmic Bounds for Discrepancy of Sparse Set Systems

Nikhil Bansal, Shashwat Garg

We consider the problem of finding a low discrepancy coloring for sparse set systems where each element lies in at most sets. We give an algorithm that finds a coloring with di…