5 citations · 7 across the 10 of their papers we have counts for
11 papers
proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference
Alexandra N. M. Darmon, Deeksha Sinha, Steve Wilkins-Reeves +1
Proxy outcomes (such as short-term behavioral signals, model predictions, or surrogate endpoints) are frequently used in place of primary outcomes that are too slow to mature, rare…
Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
Steven Wilkins-Reeves, Alexandra N. M. Darmon, Deeksha Sinha
In many scientific domains, including experimentation, researchers rely on measurements of proxy outcomes to achieve faster and more frequent reads, especially when the primary out…
Scheduling in Queueing Systems with Uncertain and Evolving Holding Costs
Caner Gocmen, Thodoris Lykouris, Deeksha Sinha +1
In content moderation for social media platforms, the cost of delaying the review of a content is proportional to its view trajectory, which fluctuates and is apriori unknown. Moti…
Fair Notification Optimization: An Auction Approach
Christian Kroer, Deeksha Sinha, Xuan Zhang +2
Notifications are important for the user experience in mobile apps and can influence their engagement. However, too many notifications can be disruptive for users. A typical mobile…
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani +17
We describe the current content moderation strategy employed by Meta to remove policy-violating content from its platforms. Meta relies on both handcrafted and learned risk models…
Optimizing Offer Sets in Sub-Linear Time
Vivek F. Farias, Andrew A. Li, Deeksha Sinha
Personalization and recommendations are now accepted as core competencies in just about every online setting, ranging from media platforms to e-commerce to social networks. While t…