Dorfman, Ron

7 publications

ICML 2025 Enhancing Parallelism in Decentralized Stochastic Convex Optimization Ofri Eisen, Ron Dorfman, Kfir Yehuda Levy

NeurIPS 2025 Prediction-Powered Semi-Supervised Learning with Online Power Tuning Noa Shoham, Ron Dorfman, Shalev Shaer, Kfir Yehuda Levy, Yaniv Romano

ICML 2024 Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers Ron Dorfman, Naseem Amin Yehya, Kfir Yehuda Levy

ICML 2023 DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy

ICML 2022 Adapting to Mixing Time in Stochastic Optimization with Markovian Data Ron Dorfman, Kfir Yehuda Levy

ICLRW 2021 Offline Meta Learning of Exploration Ron Dorfman, Idan Shenfeld, Aviv Tamar

NeurIPS 2021 Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies Ron Dorfman, Idan Shenfeld, Aviv Tamar