Fridolin Linder

According to our database, Fridolin Linder authored at least 8 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unbiased Prevalence Estimation with Multicalibrated LLMs.

Fridolin Linder, Thomas J. Leeper, Daniel Haimovich, Niek Tax, Lorenzo Perini, Milan Vojnovic

CoRR, April, 2026

On the Convergence of Multicalibration Gradient Boosting.

Daniel Haimovich, Fridolin Linder, Lorenzo Perini, Niek Tax, Milan Vojnovic

CoRR, February, 2026

MCGrad: Multicalibration at Web Scale.

Niek Tax, Lorenzo Perini, Fridolin Linder, Daniel Haimovich, Dima Karamshuk, Nastaran Okati, Milan Vojnovic, Pavlos Athanasios Apostolopoulos

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Multicalibration yields better matchings.

Riccardo Colini-Baldeschi, Simone Di Gregorio, Simone Fioravanti, Federico Fusco, Ido Guy, Daniel Haimovich, Stefano Leonardi, Fridolin Linder, Lorenzo Perini, Matteo Russo, Niek Tax

CoRR, November, 2025

Measuring multi-calibration.

Ido Guy, Daniel Haimovich, Fridolin Linder, Nastaran Okati, Lorenzo Perini, Niek Tax, Mark Tygert

CoRR, June, 2025

2024

On the Convergence of Loss and Uncertainty-based Active Learning Algorithms.

Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2016

edarf: Exploratory Data Analysis using Random Forests.

Zachary M. Jones, Fridolin Linder

J. Open Source Softw., 2016

Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data.

Alexander G. Ororbia II, Fridolin Linder, Joshua Snoke

CoRR, 2016