Ron Dorfman

According to our database, Ron Dorfman authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

DREAM: Deep Research Evaluation with Agentic Metrics.

Elad Ben-Avraham, Changhao Li, Ron Dorfman, Roy Ganz, Oren Nuriel, Amir Dudai, Aviad Aberdam, Noah Flynn, Elman Mansimov, Adi Kalyanpur, Ron Litman

CoRR, February, 2026

2025

Prediction-Powered Semi-Supervised Learning with Online Power Tuning.

Noa Shoham, Ron Dorfman, Shalev Shaer, Kfir Y. Levy, Yaniv Romano

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Parallelism in Decentralized Stochastic Convex Optimization.

Ofri Eisen, Ron Dorfman, Kfir Yehuda Levy

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers.

Ron Dorfman, Naseem Yehya, Kfir Yehuda Levy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DoCoFL: Downlink Compression for Cross-Device Federated Learning.

Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy

Proceedings of the International Conference on Machine Learning, 2023

2022

Adapting to Mixing Time in Stochastic Optimization with Markovian Data.

Ron Dorfman, Kfir Yehuda Levy

Proceedings of the International Conference on Machine Learning, 2022

2021

Offline Meta Reinforcement Learning - Identifiability Challenges and Effective Data Collection Strategies.

Ron Dorfman, Idan Shenfeld, Aviv Tamar

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

2020

Offline Meta Reinforcement Learning.

Ron Dorfman, Aviv Tamar

CoRR, 2020