59 citations · 252 across the 25 of their papers we have counts for
31 papers
Experimenting under Stochastic Congestion
Shuangning Li, Ramesh Johari, Xu Kuang +1
We study randomized experiments in a service system when stochastic congestion can arise from temporarily limited supply or excess demand. Such congestion gives rise to cross-unit…
Online Learning for Traffic Routing under Unknown Preferences
Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan +2
In transportation networks, users typically choose routes in a decentralized and self-interested manner to minimize their individual travel costs, which, in practice, often results…
Unbiased Experiments in Congested Networks
Bruce Spang, Veronica Hannan, Shravya Kunamalla +3
When developing a new networking algorithm, it is established practice to run a randomized experiment, or A/B test, to evaluate its performance. In an A/B test, traffic is randomly…
Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
Hannah Li, Geng Zhao, Ramesh Johari +1
Two-sided marketplace platforms often run experiments to test the effect of an intervention before launching it platform-wide. A typical approach is to randomize individuals into t…
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
Peter Glynn, Ramesh Johari, Mohammad Rasouli
Suppose an online platform wants to compare a treatment and control policy, e.g., two different matching algorithms in a ridesharing system, or two different inventory management a…
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
Mohsen Bayati, Nima Hamidi, Ramesh Johari +1
We investigate a Bayesian -armed bandit problem in the \emph{many-armed} regime, where and represents the time horizon. Initially, and aligned with recent…