Daniel Haimovich

According to our database, Daniel Haimovich authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Online Learning with Sublinear Best-Action Queries.

Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax

CoRR, 2024

2023

On the convergence of loss and uncertainty-based active learning algorithms.

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

CoRR, 2023

2022

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms.

Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas J. Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu

CoRR, 2022

2021

Popularity Prediction for Social Media over Arbitrary Time Horizons.

Daniel Haimovich, Dmytro Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic

Proc. VLDB Endow., 2021

2020

Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook.

Neta Barkay, Curtiss Cobb, Roee Eilat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Katherine Morris, Tal Sarig

CoRR, 2020

Scalable Prediction of Information Cascades over Arbitrary Time Horizons.

Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic

CoRR, 2020