Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. - Nataly Brukhim; Amir Globerson (ICML, 2018)

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. - Valts Blukis; Nataly Brukhim; Andrew Bennett; Ross A. Knepper; Yoav Artzi (Robotics: Science and Systems, 2018)

Boosting for Dynamical Systems. - Naman Agarwal; Nataly Brukhim; Elad Hazan; Zhou Lu (CoRR, 2019)

Boosting for Control of Dynamical Systems. - Naman Agarwal; Nataly Brukhim; Elad Hazan; Zhou Lu (ICML, 2020)

Online Agnostic Boosting via Regret Minimization. - Nataly Brukhim; Xinyi Chen 001; Elad Hazan; Shay Moran (NeurIPS, 2020)

Online Boosting with Bandit Feedback. - Nataly Brukhim; Elad Hazan (ALT, 2021)

Multiclass Boosting and the Cost of Weak Learning. - Nataly Brukhim; Elad Hazan; Shay Moran; Indraneel Mukherjee; Robert E. Schapire (NeurIPS, 2021)

A Boosting Approach to Reinforcement Learning. - Nataly Brukhim; Elad Hazan; Karan Singh (NeurIPS, 2022)

A Characterization of Multiclass Learnability. - Nataly Brukhim; Daniel Carmon; Irit Dinur; Shay Moran; Amir Yehudayoff (Electron. Colloquium Comput. Complex., 2022)

Projection-free Adaptive Regret with Membership Oracles. - Zhou Lu; Nataly Brukhim; Paula Gradu; Elad Hazan (ALT, 2023)

Improper Multiclass Boosting. - Nataly Brukhim; Steve Hanneke; Shay Moran (COLT, 2023)

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. - Nataly Brukhim; Amit Daniely; Yishay Mansour; Shay Moran (NeurIPS, 2023)

A Unified Model and Dimension for Interactive Estimation. - Nataly Brukhim; Miro Dudík; Aldo Pacchiano; Robert E. Schapire (NeurIPS, 2023)

Of Dice and Games: A Theory of Generalized Boosting. - Marco Bressan 002; Nataly Brukhim; Nicolò Cesa-Bianchi; Emmanuel Esposito; Yishay Mansour; Shay Moran; Maximilian Thiessen (COLT, 2025)

A Fine-grained Characterization of PAC Learnability. - Marco Bressan 002; Nataly Brukhim; Nicolò Cesa-Bianchi; Emmanuel Esposito; Yishay Mansour; Shay Moran; Maximilian Thiessen (COLT, 2025)

On the Hardness of Bandit Learning. - Nataly Brukhim; Aldo Pacchiano; Miroslav Dudík; Robert E. Schapire (COLT, 2025)