Daniel Haimovich

14 papers A* 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Billion-Scale Graph Foundation Models.
CoRR
Maya Bechler-Speicher, Yoel Gottlieb, Andrey Isakov, David Abensur, Ami Tavory, Daniel Haimovich, Ido Guy, Udi Weinsberg
2026 — conf
MCGrad: Multicalibration at Web Scale.
KDD (1)
Niek Tax, Lorenzo Perini, Fridolin Linder, Daniel Haimovich, Dima Karamshuk, Nastaran Okati, Milan Vojnovic, Pavlos Athanasios Apostolopoulos
2026 J jnl
On the Convergence of Multicalibration Gradient Boosting.
CoRR
Daniel Haimovich, Fridolin Linder, Lorenzo Perini, Niek Tax, Milan Vojnovic
2025 J jnl
MCGrad: Multicalibration at Web Scale.
CoRR
Lorenzo Perini, Daniel Haimovich, Fridolin Linder, Niek Tax, Dima Karamshuk, Milan Vojnovic, Nastaran Okati, Pavlos Athanasios Apostolopoulos
2025 J jnl
Measuring multi-calibration.
CoRR
Ido Guy, Daniel Haimovich, Fridolin Linder, Nastaran Okati, Lorenzo Perini, Niek Tax, Mark Tygert
2025 J jnl
Multicalibration yields better matchings.
CoRR
Riccardo Colini-Baldeschi, Simone Di Gregorio, Simone Fioravanti, Federico Fusco, Ido Guy, Daniel Haimovich, Stefano Leonardi, Fridolin Linder, Lorenzo Perini, Matteo Russo, Niek Tax
2024 A* conf
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms.
NeurIPS
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
2024 A* conf
Online Learning with Sublinear Best-Action Queries.
NeurIPS
Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
2024 J jnl
Online Learning with Sublinear Best-Action Queries.
CoRR
Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
2023 J jnl
On the convergence of loss and uncertainty-based active learning algorithms.
CoRR
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
2022 J jnl
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms.
CoRR
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
2021 J jnl
Popularity Prediction for Social Media over Arbitrary Time Horizons.
Proc. VLDB Endow.
Daniel Haimovich, Dmytro Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic
2020 J jnl
Scalable Prediction of Information Cascades over Arbitrary Time Horizons.
CoRR
Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic
2020 J jnl
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook.
CoRR
Neta Barkay, Curtiss Cobb, Roee Eilat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Katherine Morris, Tal Sarig