{"total":19,"rows":[{"id":"2202.01136","title":"Probabilistically Robust Learning: Balancing Average- and Worst-case Performance","created":"2022-02-02","cited_by_count":37,"area":null},{"id":"2301.12767","title":"Compression, Generalization and Learning","created":"2023-01-30","cited_by_count":21,"area":null},{"id":"2109.08947","title":"Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control","created":"2021-09-18","cited_by_count":12,"area":null},{"id":"2405.09794","title":"Human-AI Safety: A Descendant of Generative AI and Control Systems Safety","created":"2024-05-16","cited_by_count":7,"area":null},{"id":"2103.05441","title":"Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control","created":"2021-03-09","cited_by_count":1,"area":null},{"id":"2311.12566","title":"Variational Elliptical Processes","created":"2023-11-21","cited_by_count":1,"area":null},{"id":"2512.19172","title":"Finite-sample guarantees for data-driven forward-backward operator methods","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2603.19396","title":"Bridging Conformal Prediction and Scenario Optimization: Discarded Constraints and Modular Risk Allocation","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2102.02268","title":"A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems","created":"2021-02-03","cited_by_count":0,"area":null},{"id":"2103.07919","title":"Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction","created":"2021-03-14","cited_by_count":0,"area":null},{"id":"2204.01107","title":"Adaptive Stochastic MPC under Unknown Noise Distribution","created":"2022-04-03","cited_by_count":0,"area":null},{"id":"2211.13829","title":"Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles","created":"2022-11-24","cited_by_count":0,"area":null},{"id":"2310.02942","title":"Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2412.04882","title":"Nonmyopic Global Optimisation via Approximate Dynamic Programming","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2412.09121","title":"MMD-OPT : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization for Autonomous Driving","created":"2024-12-12","cited_by_count":0,"area":null},{"id":"2602.15568","title":"Scenario Approach with Post-Design Certification of User-Specified Properties","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2603.07092","title":"Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2607.12775","title":"Learning-enabled Acceleration of Scenario-based Model Predictive Control","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2607.16084","title":"Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem","created":"2026-07-17","cited_by_count":0,"area":null}],"next_cursor":null}