Nataly Brukhim

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 23

Top Topics

Multiclass Problems

Structured Prediction

Imitation Learning

Regret Minimization

Top Venues

Publications

Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. NeurIPS (2023)
Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert E. Schapire
A Unified Model and Dimension for Interactive Estimation. NeurIPS (2023)
Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan
Projection-free Adaptive Regret with Membership Oracles. ALT (2023)
Nataly Brukhim, Steve Hanneke, Shay Moran
Improper Multiclass Boosting. COLT (2023)
Nataly Brukhim, Miroslav Dudík, Aldo Pacchiano, Robert E. Schapire
A Unified Model and Dimension for Interactive Estimation. CoRR (2023)
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. CoRR (2023)
Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan
Projection-free Adaptive Regret with Membership Oracles. CoRR (2022)
Nataly Brukhim, Elad Hazan, Karan Singh
A Boosting Approach to Reinforcement Learning. NeurIPS (2022)
Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff
A Characterization of Multiclass Learnability. CoRR (2022)
Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff
A Characterization of Multiclass Learnability. FOCS (2022)
Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff
A Characterization of Multiclass Learnability. Electron. Colloquium Comput. Complex. (2022)
Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert E. Schapire
Multiclass Boosting and the Cost of Weak Learning. NeurIPS (2021)
Nataly Brukhim, Elad Hazan, Karan Singh
A Boosting Approach to Reinforcement Learning. CoRR (2021)
Nataly Brukhim, Elad Hazan
Online Boosting with Bandit Feedback. ALT (2021)
Nataly Brukhim, Elad Hazan
Online Boosting with Bandit Feedback. CoRR (2020)
Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran
Online Agnostic Boosting via Regret Minimization. NeurIPS (2020)
Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran
Online Agnostic Boosting via Regret Minimization. CoRR (2020)
Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu
Boosting for Control of Dynamical Systems. ICML (2020)
Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu
Boosting for Dynamical Systems. CoRR (2019)
Nataly Brukhim, Amir Globerson
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. CoRR (2018)
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)
Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR (2018)
Nataly Brukhim, Amir Globerson
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. ICML (2018)