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T. Chakraborty

12 papers hereh-index 17797 citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.GT4
  • cs.SI4
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • cs.NE1
same name
  • T. Chakraborty — 102 papers, h 37
  • T. Chakraborty — 13 papers, h 22
  • T. Chakraborty — 5 papers, h 3
  • T. Chakraborty — 3 papers, h 5
  • T. Chakraborty — 2 papers, h 3
  • T. Chakraborty — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092021
most citedHostility Detection Dataset in Hindi

16 citations · 41 across the 9 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

cs.GT2011

Mechanism Design and Risk Aversion

Anand Bhalgat, Tanmoy Chakraborty, Sanjeev Khanna

We develop efficient algorithms to construct utility maximizing mechanisms in the presence of risk averse players (buyers and sellers) in Bayesian settings. We model risk aversion…

cs.GT2010★ 5 cited

Approximation Schemes for Sequential Posted Pricing in Multi-Unit Auctions

Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha +2

We design algorithms for computing approximately revenue-maximizing {\em sequential posted-pricing mechanisms (SPM)} in K-unit auctions, in a standard Bayesian model. A seller ha…

cs.GT2010★ 7 cited

Selective Call Out and Real Time Bidding

Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha +2

Ads on the Internet are increasingly sold via ad exchanges such as RightMedia, AdECN and Doubleclick Ad Exchange. These exchanges allow real-time bidding, that is, each time the pu…

cs.GT2009

Dynamic and Non-Uniform Pricing Strategies for Revenue Maximization

Tanmoy Chakraborty, Zhiyi Huang, Sanjeev Khanna

We consider the Item Pricing problem for revenue maximization in the limited supply setting, where a single seller with n items caters to m buyers with unknown subadditive valu…

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