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Dive into the research topics where Nishanth Dikkala is active.

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Featured researches published by Nishanth Dikkala.


workshop on internet and network economics | 2013

Can Credit Increase Revenue

Nishanth Dikkala; Éva Tardos

Classical models of private value auctions assume that bidders know their own private value for the item being auctioned. We explore games where players have a private value, but can only learn this value through experimentation, a scenario that is typical in AdAuctions. We consider this question in a repeated game context, where early participation in the auction can help the bidders learn their own value. We consider what is a good bidding strategy for a player in this game, and show that with low enough competition new bidders will enter and experiment, but with a bit higher level of competition, initial credit offered by the platform can encourage experimentation, and hence ultimately can increase revenue.


algorithmic game theory | 2015

Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets

Hedyeh Beyhaghi; Nishanth Dikkala; Éva Tardos

In this paper we consider the effect of strategic behavior in matching markets as school graduates get assigned to jobs (or to further education) reacting to multiple incentives: Companies want to hire the best students, Students want to take the best jobs, Schools want to help their graduating students take great jobs.


symposium on discrete algorithms | 2018

Testing ising models

Constantinos Daskalakis; Nishanth Dikkala; Gautam Kamath


neural information processing systems | 2017

Concentration of Multilinear Functions of the Ising Model with Applications to Network Data

Constantinos Daskalakis; Nishanth Dikkala; Gautam Kamath


international colloquium on automata languages and programming | 2016

Tight Hardness Results for Maximum Weight Rectangles

Arturs Backurs; Nishanth Dikkala; Christos Tzamos


conference on learning theory | 2018

Testing Symmetric Markov Chains From a Single Trajectory

Constantinos Daskalakis; Nishanth Dikkala; Nick Gravin


arXiv: Learning | 2018

From Soft Classifiers to Hard Decisions: How fair can we be?.

Ran Canetti; Aloni Cohen; Nishanth Dikkala; Govind Ramnarayan; Sarah Scheffler; Adam D. Smith


arXiv: Learning | 2017

Testing from One Sample: Is the casino really using a riffle shuffle?

Constantinos Daskalakis; Nishanth Dikkala; Nick Gravin


Electronic Colloquium on Computational Complexity | 2017

Testing Ising Models.

Constantinos Daskalakis; Nishanth Dikkala; Gautam Kamath


arXiv: Computer Science and Game Theory | 2015

Effect of Strategic Grading and Early Offers in Matching Markets.

Hedyeh Beyhaghi; Nishanth Dikkala; Éva Tardos

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Constantinos Daskalakis

Massachusetts Institute of Technology

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Gautam Kamath

Massachusetts Institute of Technology

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Nick Gravin

Nanyang Technological University

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Adam D. Smith

Pennsylvania State University

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Arturs Backurs

Massachusetts Institute of Technology

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Christos Tzamos

Massachusetts Institute of Technology

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