• Publications
  • Influence
Correlation Clustering
TLDR
This formulation is motivated from a document clustering problem in which one has a pairwise similarity function f learned from past data, and the goal is to partition the current set of documents in a way that correlates with f as much as possible; it can also be viewed as a kind of “agnostic learning” problem. Expand
The Santa Claus problem
TLDR
This work considers the following problem: The Santa Claus has n presents that he wants to distribute among m kids, each kid has an arbitrary value for each present, and develops an O(log log m/log log log m) approximation algorithm for the restricted assignment case of the problem when p<sub>ij</sub>,0 (i.e. when present j has either value p <sub>j</sub> or 0 for each kid). Expand
Analysis of SRPT scheduling: investigating unfairness
TLDR
The degree of unfairness under SRPT is surprisingly small, and closed-form expressions for mean response time as a function of job size are proved in this setting. Expand
Speed scaling to manage energy and temperature
TLDR
The study of speed scaling to manage temperature is initiated and it is shown that the optimal temperature schedule can be computed offline in polynomial-time using the Ellipsoid algorithm and that no deterministic online algorithm can have a better competitive ratio. Expand
Approximation algorithms for deadline-TSP and vehicle routing with time-windows
TLDR
A constant-factor approximation is developed for a generalization of the orienteering problem in which both the start and the end nodes of the path are fixed, improving on the previously best known 4-approximation of [6]. Expand
Capacity, delay and mobility in wireless ad-hoc networks
  • N. Bansal, Z. Liu
  • Computer Science
  • IEEE INFOCOM . Twenty-second Annual Joint…
  • 9 July 2003
TLDR
A theoretical framework is considered and a routing algorithm is proposed which exploits the patterns in the mobility of nodes to provide guarantees on the delay and the throughput achieved by the algorithm is only a poly-logarithmic factor off from the optimal. Expand
Size-based scheduling to improve web performance
TLDR
A method for improving the performance of web servers servicing static HTTP requests to give preference to requests for small files or requests with short remaining file size, in accordance with the SRPT (Shortest Remaining Processing Time) scheduling policy. Expand
When LP Is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
TLDR
A generalization of the stochastic online matching problem that also models preference-uncertainty and timeouts of buyers, and gives a constant factor approximation algorithm. Expand
Constructive Algorithms for Discrepancy Minimization
  • N. Bansal
  • Mathematics, Computer Science
  • IEEE 51st Annual Symposium on Foundations of…
  • 11 February 2010
TLDR
The main idea in the algorithms is to produce a coloring over time by letting the color of the elements perform a random walk (with tiny increments) starting from 0 until they reach $\pm 1$. Expand
Improved approximation algorithms for multidimensional bin packing problems
In this paper we introduce a new general framework for set covering problems, based on the combination of randomized rounding of the (near-)optimal solution of the linear programming (LP) relaxation,Expand
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