activity
20142025
most citedFairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

626 citations · 2.7k across the 64 of their papers we have counts for

collaborators

65 papers

cs.IR2025★ 2 cited

Characterizing Web Search in The Age of Generative AI

Elisabeth Kirsten, Jost Grosse Perdekamp, Qinyuan Wu +3

The advent of LLMs has given rise to generative search, a new search paradigm in which LLMs retrieve information from the web related to a query and synthesize it into a single, co…

cs.LG2024

Understanding the Role of Invariance in Transfer Learning

Till Speicher, Vedant Nanda, Krishna P. Gummadi

Transfer learning is a powerful technique for knowledge-sharing between different tasks. Recent work has found that the representations of models with certain invariances, such as…

cs.CY2024

Antitrust, Amazon, and Algorithmic Auditing

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +4

In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's…

cs.SI2024

TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds

Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou +2

Recommendation algorithms for social media feeds often function as black boxes from the perspective of users. We aim to detect whether social media feed recommendations are persona…

cs.LG2023

Diffused Redundancy in Pre-trained Representations

Vedant Nanda, Till Speicher, John P. Dickerson +3

Representations learned by pre-training a neural network on a large dataset are increasingly used successfully to perform a variety of downstream tasks. In this work, we take a clo…

cs.LG2023

Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity

Camila Kolling, Till Speicher, Vedant Nanda +2

Machine learning (ML) algorithms can often exhibit discriminatory behavior, negatively affecting certain populations across protected groups. To address this, numerous debiasing me…