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ORCIDNataly Brukhim
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2020 – today
- 2023
[c12]Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan:
Projection-free Adaptive Regret with Membership Oracles. ALT 2023: 1055-1073- [c11]Nataly Brukhim, Steve Hanneke, Shay Moran:
Improper Multiclass Boosting. COLT 2023: 5433-5452 - [c10]Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran:
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. NeurIPS 2023 - [c9]Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert E. Schapire:
A Unified Model and Dimension for Interactive Estimation. NeurIPS 2023 - [i11]Nataly Brukhim, Miroslav Dudík, Aldo Pacchiano, Robert E. Schapire:
A Unified Model and Dimension for Interactive Estimation. CoRR abs/2306.06184 (2023) - [i10]Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran:
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. CoRR abs/2307.00642 (2023) - 2022
- [c8]Nataly Brukhim, Daniel Carmon, Irit Dinur
, Shay Moran, Amir Yehudayoff:
A Characterization of Multiclass Learnability. FOCS 2022: 943-955 - [c7]Nataly Brukhim, Elad Hazan, Karan Singh:
A Boosting Approach to Reinforcement Learning. NeurIPS 2022 - [i9]Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff:
A Characterization of Multiclass Learnability. CoRR abs/2203.01550 (2022) - [i8]Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan:
Projection-free Adaptive Regret with Membership Oracles. CoRR abs/2211.12638 (2022) - [i7]Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff:
A Characterization of Multiclass Learnability. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [c6]Nataly Brukhim, Elad Hazan:
Online Boosting with Bandit Feedback. ALT 2021: 397-420 - [c5]Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert E. Schapire:
Multiclass Boosting and the Cost of Weak Learning. NeurIPS 2021: 3057-3067 - [i6]Nataly Brukhim, Elad Hazan, Karan Singh:
A Boosting Approach to Reinforcement Learning. CoRR abs/2108.09767 (2021) - 2020
- [c4]Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu:
Boosting for Control of Dynamical Systems. ICML 2020: 96-103 - [c3]Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran:
Online Agnostic Boosting via Regret Minimization. NeurIPS 2020 - [i5]Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran:
Online Agnostic Boosting via Regret Minimization. CoRR abs/2003.01150 (2020) - [i4]Nataly Brukhim, Elad Hazan:
Online Boosting with Bandit Feedback. CoRR abs/2007.11975 (2020)
2010 – 2019
- 2019
- [i3]Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu:
Boosting for Dynamical Systems. CoRR abs/1906.08720 (2019) - 2018
- [c2]Nataly Brukhim, Amir Globerson:
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. ICML 2018: 658-666 - [c1]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems 2018 - [i2]Nataly Brukhim, Amir Globerson:
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. CoRR abs/1802.04721 (2018) - [i1]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR abs/1806.00047 (2018)
Coauthor Index
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