4 citations · 8 across the 7 of their papers we have counts for
8 papers
Lag: A Mean-Field Optimal Policy for Online Assignment with Reusable Resources
Keerthana Gurushankar
We study online task assignment with reusable resources. This problem arises in peer reviewer assignment, skill-based call routing, rideshare matching, emergency dispatch, and crow…
LookAhead: The Optimal Non-decreasing Index Policy for a Time-Varying Holding Cost problem
Keerthana Gurushankar, Zhouzi Li, Mor Harchol-Balter +1
In practice, the cost of delaying a job can grow as the job waits. Such behavior is modeled by the Time-Varying Holding Cost (TVHC) problem, where each job's instantaneous holding…
Improving Upon the generalized c-mu rule: a Whittle approach
Zhouzi Li, Keerthana Gurushankar, Mor Harchol-Balter +1
Scheduling a stream of jobs whose holding cost changes over time is a classic and practical problem. Specifically, each job is associated with a holding cost (penalty), where a job…
Latency Guarantees for Caching with Delayed Hits
Keerthana Gurushankar, Noah G. Singer, Bernardo Subercaseaux
In the classical caching problem, when a requested page is not present in the cache (i.e., a "miss"), it is assumed to travel from the backing store into the cache "before" the nex…
Capturing and Interpreting Unique Information
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Partial information decompositions (PIDs), which quantify information interactions between three or more variables in terms of uniqueness, redundancy and synergy, are gaining tract…
Extracting Unique Information Through Markov Relations
Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
We propose two new measures for extracting the unique information in and not about a message , when and are joint random variables with a given joint distribu…
A Minimal Intervention Definition of Reverse Engineering a Neural Circuit
Keerthana Gurushankar, Pulkit Grover
In neuroscience, researchers have developed informal notions of what it means to reverse engineer a system, e.g., being able to model or simulate a system in some sense. A recent i…
Sharp bounds on -norms for sums of independent uniform random variables,
Giorgos Chasapis, Keerthana Gurushankar, Tomasz Tkocz
We provide a sharp lower bound on the -norm of a sum of independent uniform random variables in terms of its variance when . We address an analogous question for -…