Non-Stochastic Control with Bandit Feedback. - Paula Gradu; John Hallman; Elad Hazan (NeurIPS, 2020)

Online Control of Unknown Time-Varying Dynamical Systems. - Edgar Minasyan; Paula Gradu; Max Simchowitz; Elad Hazan (NeurIPS, 2021)

Machine Learning for Mechanical Ventilation Control. - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. - Paula Gradu; John Hallman; Daniel Suo; Alex Yu; Naman Agarwal; Udaya Ghai; Karan Singh; Cyril Zhang; Anirudha Majumdar; Elad Hazan (CoRR, 2021)

Machine Learning for Mechanical Ventilation Control (Extended Abstract). - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. - Katie Kang; Paula Gradu; Jason J. Choi; Michael Janner; Claire J. Tomlin; Sergey Levine (ICML, 2022)

Valid Inference after Causal Discovery. - Paula Gradu; Tijana Zrnic; Yixin Wang; Michael I. Jordan (CoRR, 2022)

Projection-free Adaptive Regret with Membership Oracles. - Zhou Lu; Nataly Brukhim; Paula Gradu; Elad Hazan (ALT, 2023)

Online Control for Adaptive Tapering of Medications. - Paula Gradu; Benjamin Recht (CDC, 2023)

Adaptive Regret for Control of Time-Varying Dynamics. - Paula Gradu; Elad Hazan; Edgar Minasyan (L4DC, 2023)

CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments. - Jessica Dai; Paula Gradu; Christopher Harshaw (NeurIPS, 2023)

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms. - Jessica Dai; Paula Gradu; Inioluwa Deborah Raji; Benjamin Recht (CoRR, 2025)