Dima Karamshuk

According to our database, Dima Karamshuk authored at least 6 papers between 2020 and 2026.

Collaborative distances:

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

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

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 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

2020

CUT: Controllable Unsupervised Text Simplification.

Oleg Kariuk, Dima Karamshuk

CoRR, 2020

Scalable Prediction of Information Cascades over Arbitrary Time Horizons.

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

CoRR, 2020