Nataly Brukhim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Learning Conditional Averages. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2025 | COLT | Of Dice and Games: A Theory of Generalized Boosting. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2025 | COLT | A Fine-grained Characterization of PAC Learnability. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2025 | COLT | On the Hardness of Bandit Learning. | Nataly Brukhim, Aldo Pacchiano, Miroslav Dudk, Robert E. Schapire |
| 2023 | ALT | Projection-free Adaptive Regret with Membership Oracles. | Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan |
| 2023 | COLT | Improper Multiclass Boosting. | Nataly Brukhim, Steve Hanneke, Shay Moran |
| 2022 | FOCS | A Characterization of Multiclass Learnability. | Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff |
| 2021 | ALT | Online Boosting with Bandit Feedback. | Nataly Brukhim, Elad Hazan |
| 2020 | ICML | Boosting for Control of Dynamical Systems. | Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu |
| 2018 | ICML | Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. | Nataly Brukhim, Amir Globerson |