activity
20102026
most citedNash equilibria in Fisher market

34 citations · 120 across the 32 of their papers we have counts for

collaborators
Showing 2014Show all

6 papers · 1 filter

cs.GT2014

Settling Some Open Problems on 2-Player Symmetric Nash Equilibria

Ruta Mehta, Vijay V. Vazirani, Sadra Yazdanbod

Over the years, researchers have studied the complexity of several decision versions of Nash equilibrium in (symmetric) two-player games (bimatrix games). To the best of our knowle…

q-bio.PE2014

The Complexity of Genetic Diversity

Ruta Mehta, Ioannis Panageas, Georgios Piliouras +1

A key question in biological systems is whether genetic diversity persists in the long run under evolutionary competition or whether a single dominant genotype emerges. Classic wor…

cs.CC2014

Settling the Complexity of Arrow-Debreu Markets under Leontief and PLC Utilities, using the Classes FIXP and \Exists-R

Jugal Garg, Ruta Mehta, Vijay V. Vazirani +1

This paper resolves two of the handful of remaining questions on the computability of market equilibria, a central theme within algorithmic game theory (AGT). Our results are as fo…

math.DS2014★ 15 cited

Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics

Ruta Mehta, Ioannis Panageas, Georgios Piliouras

In a recent series of papers a surprisingly strong connection was discovered between standard models of evolution in mathematical biology and Multiplicative Weights Updates Algorit…

cs.GT2014

Learning Economic Parameters from Revealed Preferences

Maria-Florina Balcan, Amit Daniely, Ruta Mehta +2

A recent line of work, starting with Beigman and Vohra (2006) and Zadimoghaddam and Roth (2012), has addressed the problem of {\em learning} a utility function from revealed prefer…

cs.GT2014

Constant Rank Bimatrix Games are PPAD-hard

Ruta Mehta

The rank of a bimatrix game (A,B) is defined as rank(A+B). Computing a Nash equilibrium (NE) of a rank-, i.e., zero-sum game is equivalent to linear programming (von Neumann'28,…