Search Results for author: Ruta Mehta

Found 6 papers, 0 papers with code

Fairness in Federated Learning via Core-Stability

no code implementations3 Nov 2022 Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta

Nonetheless, the heterogeneity nature of distributed data makes it challenging to define and ensure fairness among local agents.

Decision Making Fairness +1

(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna

no code implementations6 Feb 2022 Vasilis Livanos, Ruta Mehta, Aniket Murhekar

We study two types of instances: (i) Separable, where the item set can be partitioned into goods and bads, and (ii) Restricted mixed goods (RMG), where for each item $j$, every agent has either a non-positive value for $j$, or values $j$ at the same $v_j>0$.

Fairness

Multiclass Performance Metric Elicitation

no code implementations NeurIPS 2019 Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi O. Koyejo

Metric Elicitation is a principled framework for selecting the performance metric that best reflects implicit user preferences.

Binary Classification Classification +1

Social welfare and profit maximization from revealed preferences

no code implementations6 Nov 2017 Ziwei Ji, Ruta Mehta, Matus Telgarsky

Consider the seller's problem of finding optimal prices for her $n$ (divisible) goods when faced with a set of $m$ consumers, given that she can only observe their purchased bundles at posted prices, i. e., revealed preferences.

Learning Economic Parameters from Revealed Preferences

no code implementations30 Jul 2014 Maria-Florina Balcan, Amit Daniely, Ruta Mehta, Ruth Urner, Vijay V. Vazirani

In this work we advance this line of work by providing sample complexity guarantees and efficient algorithms for a number of important classes.

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