System identification and control of a small-scale paramotor. - Jack Umenberger; Ali Haydar Göktogan (ICRA, 2013)

Real-time planning with primitives for dynamic walking over uneven terrain. - Ian R. Manchester; Jack Umenberger (ICRA, 2014)

Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. - Jack Umenberger; Ian R. Manchester (ACC, 2016)

Scalable identification of stable positive systems. - Jack Umenberger; Ian R. Manchester (CDC, 2016)

Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. - Jack Umenberger; Johan Wågberg; Ian R. Manchester; Thomas B. Schön (CoRR, 2016)

Identification of externally positive systems. - Christian Grussler; Jack Umenberger; Ian R. Manchester (CDC, 2017)

Learning convex bounds for linear quadratic control policy synthesis. - Jack Umenberger; Thomas B. Schön (NeurIPS, 2018)

Maximum likelihood identification of stable linear dynamical systems. - Jack Umenberger; Johan Wågberg; Ian R. Manchester; Thomas B. Schön (Autom., 2018)

Bayesian identification of state-space models via adaptive thermostats. - Jack Umenberger; Thomas B. Schön; Fredrik Lindsten (CDC, 2019)

Robust exploration in linear quadratic reinforcement learning. - Jack Umenberger; Mina Ferizbegovic; Thomas B. Schön; Håkan Hjalmarsson (NeurIPS, 2019)

Inverse optimal control for discrete-time finite-horizon Linear Quadratic Regulators. - Han Zhang 056; Jack Umenberger; Xiaoming Hu 001 (Autom., 2019)

Convex Bounds for Equation Error in Stable Nonlinear Identification. - Jack Umenberger; Ian R. Manchester (IEEE Control. Syst. Lett., 2019)

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. - Jack Umenberger; Ian R. Manchester (IEEE Trans. Autom. Control., 2019)

Optimistic robust linear quadratic dual control. - Jack Umenberger; Thomas B. Schön (L4DC, 2020)

On the smoothness of nonlinear system identification. - Antônio H. Ribeiro; Koen Tiels; Jack Umenberger; Thomas B. Schön; Luis Antonio Aguirre (Autom., 2020)

Learning Robust LQ-Controllers Using Application Oriented Exploration. - Mina Ferizbegovic; Jack Umenberger; Håkan Hjalmarsson; Thomas B. Schön (IEEE Control. Syst. Lett., 2020)

Nonlinear Input Design as Optimal Control of a Hamiltonian System. - Jack Umenberger; Thomas B. Schön (IEEE Control. Syst. Lett., 2020)

Closed-loop data-enabled predictive control. - Jack Umenberger (ACC, 2021)

Identifying External Contacts from Joint Torque Measurements on Serial Robotic Arms and Its Limitations. - Tao Pang; Jack Umenberger; Russ Tedrake (ICRA, 2021)

Stabilizing Dynamical Systems via Policy Gradient Methods. - Juan C. Perdomo; Jack Umenberger; Max Simchowitz (NeurIPS, 2021)

Globally Convergent Policy Search for Output Estimation. - Jack Umenberger; Max Simchowitz; Juan C. Perdomo; Kaiqing Zhang; Russ Tedrake (NeurIPS, 2022)

Globally Convergent Policy Search over Dynamic Filters for Output Estimation. - Jack Umenberger; Max Simchowitz; Juan C. Perdomo; Kaiqing Zhang; Russ Tedrake (CoRR, 2022)

Distributed Identification of Contracting and/or Monotone Network Dynamics. - Max Revay; Jack Umenberger; Ian R. Manchester (IEEE Trans. Autom. Control., 2022)

Smooth Model Predictive Control with Applications to Statistical Learning. - Kwangjun Ahn; Daniel Pfrommer; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CoRR, 2023)

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CDC, 2024)

Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CoRR, 2024)

Shortest Paths in Graphs of Convex Sets. - Tobia Marcucci; Jack Umenberger; Pablo A. Parrilo; Russ Tedrake (SIAM J. Optim., 2024)

Constrained Diffusers for Safe Planning and Control. - Jichen Zhang; Liqun Zhao; Antonis Papachristodoulou; Jack Umenberger (CoRR, 2025)

BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning. - Ruohong Liu; Jack Umenberger; Yize Chen (CoRR, 2025)

Smoothed Analysis of Online Metric Problems. - Christian Coester; Jack Umenberger (CoRR, 2025)