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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 2022Show all

7 papers · 1 filter

cs.DS2022

A Nearly Tight Lower Bound for the -Dimensional Cow-Path Problem

Nikhil Bansal, John Kuszmaul, William Kuszmaul

In the -dimensional cow-path problem, a cow living in must locate a -dimensional hyperplane whose location is unknown. The only way that the cow can…

cs.DS2022

Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank

Nikhil Bansal, Haotian Jiang, Raghu Meka

We give a simple proof of the matrix Spencer conjecture up to poly-logarithmic rank: given symmetric matrices each with …

cs.DS2022

Balanced Allocations: The Heavily Loaded Case with Deletions

Nikhil Bansal, William Kuszmaul

In the 2-choice allocation problem, balls are placed into bins, and each ball must choose between two random bins that it has been assigned to. It has been k…

cs.DS2022

A Unified Approach to Discrepancy Minimization

Nikhil Bansal, Aditi Laddha, Santosh S. Vempala

We study a unified approach and algorithm for constructive discrepancy minimization based on a stochastic process. By varying the parameters of the process, one can recover various…

math.PR2022

Smoothed Analysis of the Komlós Conjecture

Nikhil Bansal, Haotian Jiang, Raghu Meka +2

The well-known Komlós conjecture states that given vectors in with Euclidean norm at most one, there always exists a coloring such that the $\ell_{\infty…

quant-ph2022

Influence in Completely Bounded Block-multilinear Forms and Classical Simulation of Quantum Algorithms

Nikhil Bansal, Makrand Sinha, Ronald de Wolf

The Aaronson-Ambainis conjecture (Theory of Computing '14) says that every low-degree bounded polynomial on the Boolean hypercube has an influential variable. This conjecture, if t…