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Daniel Haimovich

Observed name: Haimovich, Daniel
ORCID: 0009-0006-0140-7859
Observed ORCID: 0009-0006-0140-7859
OpenAlex ID: A5046710059
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook
2020 · Barkay, Neta, Cobb, Curtiss, et al. · arXiv (Cornell University) · 59
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Partnering with a global platform to inform research and public policy making
2020 · Kreuter, Frauke, Barkay, Neta, et al. · Survey research methods · 55
Clk post-transcriptional control denoises circadian transcription both temporally and spatially
2015 · Immanuel Lerner, Osnat Bartok, et al. · Nature Communications · 45
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Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
2022 · Avadhanula, Vashist, Baki, Omar Abdul, et al. · arXiv (Cornell University) · 12
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Billion-Scale Graph Foundation Models
2026 · Bechler-Speicher, Maya, Gottlieb, Yoel, et al. · arXiv (Cornell University) · 8
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Measuring multi-calibration
2025 · Guy, Ido, Haimovich, Daniel, et al. · arXiv (Cornell University) · 7
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Popularity prediction for social media over arbitrary time horizons
2021 · Daniel Haimovich, Dima Karamshuk, et al. · Proceedings of the VLDB Endowment · 7
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Multicalibration Yields Better Matchings
2025 · Baldeschi, Riccardo Colini, Di Gregorio, Simone, et al. · arXiv (Cornell University) · 3
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On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
2024 · Daniel Haimovich, Dima Karamshuk, et al. · neural information processing systems · 3
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Scalable Prediction of Information Cascades over Arbitrary Time Horizons
2020 · Daniel Haimovich, Dima Karamshuk, et al. · arXiv (Cornell University) · 3
Multicalibration for Unbiased Model-Based Prevalence Estimation
2026 · Linder, Fridolin, Leeper, Thomas, et al. · arXiv (Cornell University) · 1
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MCGrad : Multicalibration at Web Scale
2026 · Niek Tax, Lorenzo Perini, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
On the Convergence of Multicalibration Gradient Boosting
2026 · Haimovich, Daniel, Linder, Fridolin, et al. · arXiv (Cornell University) · 1
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Online Learning with Sublinear Best-Action Queries
2024 · Matteo Russo, Andrea Celli, et al. · neural information processing systems · 1
A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge
2026 · Barbera, Cesare, Stradiotti, Luca, et al. · arXiv (Cornell University)
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MCGrad: Multicalibration at Web Scale
2025 · Tax, Niek, Perini, Lorenzo, et al. · arXiv (Cornell University)
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Works count: 17
Citation count: 206
H-index: 7
I10-index: 4
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