72 citations · 199 across the 23 of their papers we have counts for
33 papers
The Quantum Advantage in Binary Teams and the Coordination Dilemma: Part I
Shashank A. Deshpande, Ankur A. Kulkarni
We have shown that entanglement assisted stochastic strategies allow access to strategic measures beyond the classically correlated measures accessible through passive common rando…
Achievable Rates for Information Extraction from a Strategic Sender
Anuj S. Vora, Ankur A. Kulkarni
We consider a setting of non-cooperative communication where a receiver wants to recover randomly generated sequences of symbols that are observed by a strategic sender. The sender…
Signalling for Electricity Demand Response: When is Truth Telling Optimal?
Rene Aid, Anupama Kowli, Ankur A. Kulkarni
Utilities and transmission system operators (TSO) around the world implement demand response programs for reducing electricity consumption by sending information on the state of ba…
A Scalable Bayesian Persuasion Framework for Epidemic Containment on Heterogeneous Networks
Shraddha Pathak, Ankur A. Kulkarni
During an epidemic, the information available to individuals in the society deeply influences their belief of the epidemic spread, and consequently the preventive measures they tak…
The Quantum Advantage in Decentralized Control
Shashank A. Deshpande, Ankur A. Kulkarni
It is known in the context of decentralised control that there exist control strategies consistent with the requirements of a given information structure, yet physically unimplemen…
Information Revelation Through Signalling
Reema Deori, Ankur A. Kulkarni
This paper studies a Stackelberg game wherein a sender (leader) attempts to shape the information of a less informed receiver (follower) who in turn takes an action that determines…
Optimal Questionnaires for Screening of Strategic Agents
Anuj S. Vora, Ankur A. Kulkarni
During the COVID- pandemic the health authorities at airports and train stations try to screen and identify the travellers possibly exposed to the virus. However, many individu…
Shannon meets Myerson: Information Extraction from a Strategic Sender
Anuj S. Vora, Ankur A. Kulkarni
We study a setting where a receiver must design a questionnaire to recover a sequence of symbols known to strategic sender, whose utility may not be incentive compatible. We allow…
Duopolistic platform competition for revenue and throughput
Mansi Sood, Ankur A. Kulkarni, Sharayu Moharir
We consider two competing platforms operating in a two-sided market and offering identical services to their customers at potentially different prices. The objective of each platfo…
Strategy-Proof Spectrum Allocation among Multiple Operators for Demand Varying Wireless Networks
Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar
To address the exponentially increasing data rate demands of end users, necessitates efficient spectrum allocation among co-existing operators in licensed and unlicensed spectrum b…
Statistical Economies of Scale in Battery Sharing
Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni
The goal of this paper is to shed light on the statistical economies of scale achievable from sharing of storage between renewable generators. We conduct an extensive study using r…
The Efficiency of Generalized Nash and Variational Equilibria
Ankur A. Kulkarni
Shared-constraint games are noncooperative -player games where players are coupled through a common coupling constraint. It is known that such games admit two kinds of equilibri…
Efficiency Fairness Tradeoff in Battery Sharing
Karan N. Chadha, Ankur A. Kulkarni, Jayakrishnan Nair
The increasing presence of decentralized renewable generation in the power grid has motivated consumers to install batteries to save excess energy for future use. The high price of…
Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC
Anuj S. Vora, Ankur A. Kulkarni
Motivated by applications in the security of cyber-physical systems, we pose the finite blocklength communication problem in the presence of a jammer as a zero-sum game between the…
Aggregate Play and Welfare in Strategic Interactions on Networks
Karan N. Chadha, Ankur A. Kulkarni
In recent work by Bramoullé and Kranton, a model for the provision of public goods on a network was presented and relations between equilibria of such a game and properties of the…
Sizing Storage for Reliable Renewable Integration: A Large Deviations Approach
Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni
The inherent intermittency of wind and solar generation presents a significant challenge as we seek to increase the penetration of renewable generation in the power grid. Increasin…
Price-Coupling Games and the Generation Expansion Planning Problem
Mathew P. Abraham, Ankur A. Kulkarni
In this paper, we introduce and study a class of games called price-coupling games that arise in many scenarios, especially in the electricity industry. In a price-coupling game, t…
Strategy-Proof Spectrum Allocation among Multiple Operators
Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar
To address the demand of exponentially increasing end users efficient use of limited spectrum is a necessity. For this, spectrum allocation among co-existing operators in licensed…
On Independent Cliques and Linear Complementarity Problems
Karan N. Chadha, Ankur A. Kulkarni
In recent work (Pandit and Kulkarni [Discrete Applied Mathematics, 244 (2018), pp. 155--169]), the independence number of a graph was characterized as the maximum of the n…
Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer
Sharu Theresa Jose, Ankur A. Kulkarni
We study the setting of channel coding over a family of channels whose state is controlled by an adversarial jammer by viewing it as a zero-sum game between a finite blocklength en…
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming
Sharu Theresa Jose, Ankur A. Kulkarni
A new finite blocklength converse for the Slepian- Wolf coding problem is presented which significantly improves on the best known converse for this problem, due to Miyake and Kana…
Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding
Sharu Theresa Jose, Ankur A. Kulkarni
A linear programming (LP) based framework is presented for obtaining converses for finite blocklength lossy joint source-channel coding problems. The framework applies for any loss…
Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria
Parthe Pandit, Ankur A. Kulkarni
Recently Bramoulle and Kranton presented a model for the provision of public goods over a network and showed the existence of a class of Nash equilibria called specialized equilibr…
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs
Parthe Pandit, Ankur A. Kulkarni
The linear complementarity problem is a continuous optimization problem that generalizes convex quadratic programming, Nash equilibria of bimatrix games and several such problems.…