13 citations · 20 across the 7 of their papers we have counts for
9 papers
Measuring Gift Card Program Incrementality via Causal Data Fusion
Justin Whitehouse, William Betz, Yan Zhang +3
Businesses regularly offer gift card programs to drive customer spending and increase engagement. A central question is how much incremental revenue these programs generate, and wh…
Can Labor Markets Function in the Age of AI? The Evaluation Bottleneck in Hiring
Itai Ashlagi, Ramesh Johari, Jon Kleinberg +1
AI-assisted job-search tools have become increasingly popular by making it easier to find and apply to jobs. But by making it easier for applicants to generate and tailor applicati…
Optimal Empirical Risk Minimization under Temporal Distribution Shifts
Yujin Jeong, Ramesh Johari, Dominik Rothenhäusler +1
Temporal distribution shifts pose a key challenge for machine learning models trained and deployed in dynamically evolving environments. This paper introduces RIDER (RIsk minimizat…
The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games
Lyle Goodyear, Rachel Guo, Ramesh Johari
Large Language Models (LLMs) have shown promise as decision-makers in dynamic settings, but their stateless nature necessitates creating a natural language representation of histor…
Switchback Price Experiments with Forward-Looking Demand
Yifan Wu, Ramesh Johari, Vasilis Syrgkanis +1
Switchback experiments are widely used in pricing applications. We consider a retailer running such an experiment for the price of a single product, with infinite supply. In each p…
When Does Interference Matter? Decision-Making in Platform Experiments
Ramesh Johari, Hannah Li, Anushka Murthy +1
This paper investigates decision-making in A/B experiments for online platforms and marketplaces. In such settings, due to constraints on inventory, A/B experiments typically lead…
Price Experimentation and Interference
Ramesh Johari, Orrie B. Page, Gabriel Y. Weintraub
In this paper, we examine the biases that arise when firms run A/B tests on continuous parameters to estimate global treatment effects on performance metrics of interest; we partic…
Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design
Thomas Ma, Michael S. Bernstein, Ramesh Johari +1
Online marketplaces use rating systems to promote the discovery of high-quality products. However, these systems also lead to high variance in producers' economic outcomes: a new p…
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach
Bar Light, Ramesh Johari, Gabriel Weintraub
Online platforms collect rich information about participants and then share some of this information back with them to improve market outcomes. In this paper we study the following…