World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5871
World Ranking
12067
National Ranking
4917

Overview

Nikhil R. Devanur is affiliated with Amazon in the United States. Their research contributions span primarily the field of Decision Sciences with a focus on Management Science and Operations Research. They have also engaged in studies related to Computer Networks and Communications, Management Information Systems, Economics and Econometrics, as well as Electrical and Electronic Engineering.

The scientist's published work addresses multiple themes within their fields of study. Major topics covered include:

  • Auction Theory and Applications
  • Optimization and Search Problems
  • Supply Chain and Inventory Management
  • Economic theories and models
  • Game Theory and Applications
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices

Their recent papers include the following:

  • Efficient Algorithms for Device Placement of DNN Graph Operators (2020), published in arXiv (Cornell University)
  • Static Pricing for Multi-unit Prophet Inequalities (2023), published in Operations Research
  • Static pricing for multi-unit prophet inequalities (2020), published in arXiv (Cornell University)
  • Simple pricing schemes for consumers with evolving values (2022), published in Games and Economic Behavior
  • Designing a Combinatorial Financial Options Market (2021), published in arXiv (Cornell University)

Frequent collaborators in their research include:

  • Shuchi Chawla
  • Thodoris Lykouris
  • Anna R. Karlin
  • Balasubramanian Sivan
  • Jakub Tarnawski

The primary venues where this scientist has published are:

  • arXiv (Cornell University)
  • Games and Economic Behavior
  • Operations Research

Best Publications

  • PipeDream: generalized pipeline parallelism for DNN training

    Deepak Narayanan;Aaron Harlap;Amar Phanishayee;Vivek Seshadri

  • The adwords problem: online keyword matching with budgeted bidders under random permutations

    Nikhil R. Devanur;Thomas P. Hayes

  • ProjecToR: Agile Reconfigurable Data Center Interconnect

    Monia Ghobadi;Ratul Mahajan;Amar Phanishayee;Nikhil Devanur

  • Near Optimal Online Algorithms and Fast Approximation Algorithms for Resource Allocation Problems

    Nikhil R. Devanur;Kamal Jain;Balasubramanian Sivan;Christopher A. Wilkens

  • Market equilibrium via a primal--dual algorithm for a convex program

    Nikhil R. Devanur;Christos H. Papadimitriou;Amin Saberi;Vijay V. Vazirani

  • Randomized primal-dual analysis of RANKING for online bipartite matching

    Nikhil R. Devanur;Kamal Jain;Robert D. Kleinberg

  • Market equilibrium via a primal-dual-type algorithm

    N.R. Devanur;C.H. Papadimitriou;A. Saberi;V.V. Vazirani

  • Real-time bidding algorithms for performance-based display ad allocation

    Ye Chen;Pavel Berkhin;Bo Anderson;Nikhil R. Devanur

  • A Duality-Based Unified Approach to Bayesian Mechanism Design

    Yang Cai;Nikhil R. Devanur;S. Matthew Weinberg

  • Bandits with concave rewards and convex knapsacks

    Shipra Agrawal;Nikhil R. Devanur

  • Fast algorithms for online stochastic convex programming

    Shipra Agrawal;Nikhil R. Devanur

  • Convex Program Duality, Fisher Markets, and Nash Social Welfare

    Richard Cole;Nikhil Devanur;Vasilis Gkatzelis;Kamal Jain

  • PipeDream: Fast and Efficient Pipeline Parallel DNN Training.

    Aaron Harlap;Deepak Narayanan;Amar Phanishayee;Vivek Seshadri

  • Online matching with concave returns

    Nikhil R. Devanur;Kamal Jain

  • Strategyproof cost-sharing mechanisms for set cover and facility location games

    Nikhil R. Devanur;Milena Mihail;Vijay V. Vazirani

  • The sample complexity of auctions with side information

    Nikhil R. Devanur;Zhiyi Huang;Christos-Alexandros Psomas

  • Primal Dual Gives Almost Optimal Energy-Efficient Online Algorithms

    Nikhil R. Devanur;Zhiyi Huang

  • Integrality gaps for sparsest cut and minimum linear arrangement problems

    Nikhil R. Devanur;Subhash A. Khot;Rishi Saket;Nisheeth K. Vishnoi

  • Distributed algorithms via gradient descent for fisher markets

    Benjamin Birnbaum;Nikhil R. Devanur;Lin Xiao

  • Linear Contextual Bandits with Knapsacks

    Shipra Agrawal;Nikhil R. Devanur

  • Blink: Fast and Generic Collectives for Distributed ML

    Guanhua Wang;Shivaram Venkataraman;Amar Phanishayee;Jorgen Thelin

Frequent Co-Authors

Vijay V. Vazirani
Vijay V. Vazirani University of California, Irvine
Kamal Jain
Kamal Jain Microsoft (United States)
Jason D. Hartline
Jason D. Hartline Northwestern University
Anna R. Karlin
Anna R. Karlin University of Washington
Yuval Rabani
Yuval Rabani Hebrew University of Jerusalem
Richard Cole
Richard Cole New York University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Yossi Azar
Yossi Azar Tel Aviv University
Amin Saberi
Amin Saberi Stanford University
Lin Xiao
Lin Xiao Facebook (United States)

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