activity
20122022
most citedAlgorithms for Low Rank Approximation

5 citations · 16 across the 6 of their papers we have counts for

collaborators

10 papers

cs.DS2022

Online Learning and Bandits with Queried Hints

Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im +2

We consider the classic online learning and stochastic multi-armed bandit (MAB) problems, when at each step, the online policy can probe and find out which of a small number ()…

cs.LG20211 cited

Contextual Recommendations and Low-Regret Cutting-Plane Algorithms

Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias +3

We consider the following variant of contextual linear bandits motivated by routing applications in navigational engines and recommendation systems. We wish to learn a hidden -d…

cs.GT2020

Almost Envy-free Repeated Matching in Two-sided Markets

Sreenivas Gollapudi, Kostas Kollias, Benjamin Plaut

A two-sided market consists of two sets of agents, each of whom have preferences over the other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching probl…

cs.GT20202 cited

Predict and Match: Prophet Inequalities with Uncertain Supply

Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi +2

We consider the problem of selling perishable items to a stream of buyers in order to maximize social welfare. A seller starts with a set of identical items, and each arriving buye…

cs.DS20193 cited

Hiring Under Uncertainty

Manish Raghavan, Manish Purohit, Sreenivas Gollupadi

In this paper we introduce the hiring under uncertainty problem to model the questions faced by hiring committees in large enterprises and universities alike. Given a set of el…

cs.LG20195 cited

On the Learnability of Deep Random Networks

Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar +1

In this paper we study the learnability of deep random networks from both theoretical and practical points of view. On the theoretical front, we show that the learnability of rando…