Publications

Journal Papers

• S. Hutchinson, A. Zibaie, R. Pedarsani, and M. Alizadeh, “Optimistic Algorithms for Safe Linear Bandits Under General Constraints,” IEEE Open Journal of Control Systems (OJ-CSYS), 2025. [paper]
• B. Turan, S. Hutchinson, and M. Alizadeh, “A Safe First-Order Method for Pricing-Based Resource Allocation in Safety-Critical Networks,” IEEE Transactions on Control of Network Systems (TCNS), 2024. [paper]
• S. Hutchinson, B. Turan, and M. Alizadeh, “Safe Pricing Mechanisms for Distributed Resource Allocation with Bandit Feedback,” IEEE Transactions on Control of Network Systems (TCNS), 2024. [paper]

Conference Papers

• S. Hutchinson and M. Alizadeh, “Constrained Online Convex Optimization with Polyak Feasibility Steps,” International Conference on Machine Learning (ICML), 2025. [paper] [poster] [video]
• A. Zibaie, S. Hutchinson, R. Pedarsani, and M. Alizadeh, “The Safety-Privacy Tradeoff in Linear Bandits,” IEEE International Symposium on Information Theory (ISIT), 2025. [paper]
• N. Jiang, S. Hutchinson, and M. Alizadeh, “Online Nonstochastic Control with Convex Safety Constraints,” American Control Conference (ACC), 2025. [paper]
• S. Hutchinson, T. Chen, and M. Alizadeh, “Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints,” International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. [paper] [poster] [slides]
• S. Hutchinson and M. Alizadeh, “Safe Online Convex Optimization with Multi-point Feedback,” Learning for Dynamics and Control Conference (L4DC), 2024. [paper] [poster]
• B. Turan, S. Hutchinson, and M. Alizadeh, “Safe Dynamic Pricing for Nonstationary Network Resource Allocation,” Learning for Dynamics and Control Conference (L4DC), 2024. [paper]
• S. Hutchinson and M. Alizadeh, “Safe Online Convex Optimization with First-order Feedback,” IEEE American Control Conference (ACC), 2024. [paper] [slides]
• S. Hutchinson, B. Turan, and M. Alizadeh, “Directional Optimism for Safe Linear Bandits,” International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. [paper] [poster]
• S. Hutchinson, B. Turan, and M. Alizadeh, “The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback,” Learning for Dynamics and Control Conference (L4DC), 2023. [paper]
• S. Hutchinson, B. Turan, and M. Alizadeh, “A Safe Pricing Mechanism for Distributed Resource Allocation with Bandit Feedback,” 2022 IEEE 61st Conference on Decision and Control (CDC), 2022. [paper]
• S. Hutchinson, W. G. Bernal Heredia, and O. A. Ghatpande, “Resilience Metrics for Building-Level Electrical Distribution Systems with Energy Storage,” 2022 IEEE Conference on Technologies for Sustainability (SusTech), 2022. [paper]

Preprints and Workshop Papers

• S. Hutchinson, N. Jiang, and M. Alizadeh, “Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator,” arXiv, 2026, [paper] [slides]
• V. Hebbar, S. Hutchinson, M. Alizadeh, C. Langbort, “Steady-state Based Approach to Online Non-stochastic Control,” arXiv, 2026, [paper]
• S. Hutchinson, A. P. Vinod, F. Germain, S. Di Cairano, C. R. Laughman, A. Chakrabarty, “Quantile-SMPC for Grid-Interactive Buildings with Multivariate Temporal Fusion Transformers,” UrbanAI: Harnessing Artificial Intelligence for Smart Cities, NeurIPS Workshop 2025. [paper]