activity
20232026
most citedGradient Descent Provably Solves Nonlinear Tomographic Reconstruction

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data

Jessica Dai, Sean Garcia, Emma Pierson +2

ChatGPT was launched on November 30, 2022; the r/ChatGPT subreddit was created just one day later. Since then, chatbot-based AI products have gone from niche proofs-of-concept to w…

cs.LG2026

Separating Geometry from Probability in the Analysis of Generalization

Maxim Raginsky, Benjamin Recht

The goal of machine learning is to find models that minimize prediction error on data that has not yet been seen. Its operational paradigm assumes access to a dataset and artic…

cs.LG2025

Bridging Prediction and Intervention Problems in Social Systems

Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou +32

Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals…

cs.CY2025

Aggregated Individual Reporting for Post-Deployment Evaluation

Jessica Dai, Inioluwa Deborah Raji, Benjamin Recht +1

The need for developing model evaluations beyond static benchmarking, especially in the post-deployment phase, is now well-understood. At the same time, concerns about the concentr…

cs.LG2025

In Defense of Defensive Forecasting

Juan Carlos Perdomo, Benjamin Recht

This tutorial provides a survey of algorithms for Defensive Forecasting, where predictions are derived not by prognostication but by correcting past mistakes. Pioneered by Vovk, De…

cs.CY2025

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms

Jessica Dai, Paula Gradu, Inioluwa Deborah Raji +1

When an individual reports a negative interaction with some system, how can their personal experience be contextualized within broader patterns of system behavior? We study the rep…

cs.CV2023★ 1 cited

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein +2

In computed tomography (CT), the forward model consists of a linear Radon transform followed by an exponential nonlinearity based on the attenuation of light according to the Beer-…

math.OC2023

Online Control for Adaptive Tapering of Medications

Paula Gradu, Benjamin Recht

We investigate adaptive protocols for the elimination or reduction of the use of medications or addictive substances. We formalize this problem as online optimization, minimizing t…