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02/22/2023
Experimenting under Stochastic Congestion
Stochastic congestion, a phenomenon in which a system becomes temporaril...
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07/10/2022
Parametric Empirical Bayes for Predicting Quality in Rating Systems
User-solicited ratings systems in online marketplaces suffer from a cold...
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03/31/2022
Online Learning for Traffic Routing under Unknown Preferences
In transportation networks, users typically choose routes in a decentral...
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09/30/2021
Unbiased Experiments in Congested Networks
When developing a new networking algorithm, it is established practice t...
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04/25/2021
Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
Two-sided marketplace platforms often run experiments to test the effect...
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06/10/2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
Suppose an online platform wants to compare a treatment and control poli...
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02/24/2020
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms
We characterize Bayesian regret in a stochastic multi-armed bandit probl...
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02/13/2020
Experimental Design in Two-Sided Platforms: An Analysis of Bias
We develop an analytical framework to study experimental design in two-s...
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01/07/2019
Semi-parametric dynamic contextual pricing
We consider a canonical revenue maximization problem where customers arr...
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10/30/2018
Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments
Platforms critically rely on rating systems to learn the quality of mark...
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06/18/2018
Designing Optimal Binary Rating Systems
Modern online platforms rely on effective rating systems to learn about ...
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05/30/2018
Optimal Testing in the Experiment-rich Regime
Motivated by the widespread adoption of large-scale A/B testing in indus...
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02/23/2018
Learning with Abandonment
Consider a platform that wants to learn a personalized policy for each u...
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02/15/2018
Bandit Learning with Positive Externalities
Many platforms are characterized by the fact that future user arrivals a...
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02/02/2018
On Learning the cμ Rule in Single and Parallel Server Networks
We consider learning-based variants of the c μ rule for scheduling in si...
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02/02/2018
On Learning the cμ Rule: Single and Multiserver Settings
We consider learning-based variants of the c μ rule -- a classic and wel...
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03/15/2016
Matching While Learning
We consider the problem faced by a service platform that needs to match ...
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02/09/2016
