Nataly Brukhim

According to our database, Nataly Brukhim authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

A Unified Model and Dimension for Interactive Estimation.

Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria.

Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improper Multiclass Boosting.

Nataly Brukhim, Steve Hanneke, Shay Moran

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Projection-free Adaptive Regret with Membership Oracles.

Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

A Characterization of Multiclass Learnability.

Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff

Electron. Colloquium Comput. Complex., 2022

A Boosting Approach to Reinforcement Learning.

Nataly Brukhim, Elad Hazan, Karan Singh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Multiclass Boosting and the Cost of Weak Learning.

Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Boosting with Bandit Feedback.

Nataly Brukhim, Elad Hazan

Proceedings of the Algorithmic Learning Theory, 2021

2020

Online Agnostic Boosting via Regret Minimization.

Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Boosting for Control of Dynamical Systems.

Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Boosting for Dynamical Systems.

Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu

CoRR, 2019

2018

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning.

Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi

Proceedings of the Robotics: Science and Systems XIV, 2018

Predict and Constrain: Modeling Cardinality in Deep Structured Prediction.

Nataly Brukhim, Amir Globerson

Proceedings of the 35th International Conference on Machine Learning, 2018