activity
20092026
most citedA geometric alternative to Nesterov's accelerated gradient descent

85 citations · 237 across the 30 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.DS2022

Efficient Determinant Maximization for All Matroids

Adam Brown, Aditi Laddha, Madhusudhan Pittu +1

Determinant maximization provides an elegant generalization of problems in many areas, including convex geometry, statistics, machine learning, fair allocation of goods, and networ…

cs.DS2022

Which norm is the fairest? Approximations for fair facility location across all ""

Swati Gupta, Jai Moondra, Mohit Singh

Fair facility location problems try to balance access costs to open facilities borne by different groups of people by minimizing the norm of these group distances. However, t…

cs.GT2022

The IID Prophet Inequality with Limited Flexibility

Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello

In online sales, sellers usually offer each potential buyer a posted price in a take-it-or-leave fashion. Buyers can sometimes see posted prices faced by other buyers, and changing…

cs.DS2022

Determinant Maximization via Matroid Intersection Algorithms

Adam Brown, Aditi Laddha, Madhusudhan Pittu +2

Determinant maximization problem gives a general framework that models problems arising in as diverse fields as statistics \cite{pukelsheim2006optimal}, convex geometry \cite{Khach…

cs.DS2022★ 1 cited

Constant-Factor Approximation Algorithms for Socially Fair -Clustering

Mehrdad Ghadiri, Mohit Singh, Santosh S. Vempala

We study approximation algorithms for the socially fair -clustering problem with groups, whose special cases include the socially fair -median () and socia…

math.OC2022★ 2 cited

Heterogeneous Multi-Resource Allocation with Subset Demand Requests

Arden Baxter, Pinar Keskinocak, Mohit Singh

We consider the problem of allocating multiple heterogeneous resources geographically and over time to meet demands that require some subset of the available resource types simulta…