As, Yarden

10 publications

ICLR 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

ICML 2025 Learning Safety Constraints for Large Language Models Xin Chen, Yarden As, Andreas Krause

NeurIPS 2025 SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause

ICML 2025 Safe-EF: Error Feedback for Non-Smooth Constrained Optimization Rustem Islamov, Yarden As, Ilyas Fatkhullin

JMLR 2024 Log Barriers for Safe Black-Box Optimization with Application to Safe Reinforcement Learning Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause

ICMLW 2024 Transductive Active Learning with Application to Safe Bayesian Optimization Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

NeurIPS 2024 Transductive Active Learning: Theory and Applications Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

NeurIPS 2024 When to Sense and Control? a Time-Adaptive Approach for Continuous-Time RL Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause

ICMLW 2024 When to Sense and Control? a Time-Adaptive Approach for Continuous-Time RL Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dorfler, Andreas Krause

ICLR 2022 Constrained Policy Optimization via Bayesian World Models Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause