A Distributed Second-Order Algorithm You Can Trust. - Celestine Dünner; Aurélien Lucchi; Matilde Gargiani; An Bian; Thomas Hofmann 001; Martin Jaggi (ICML, 2018)

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. - Matilde Gargiani; Aaron Klein; Stefan Falkner; Frank Hutter (CoRR, 2019)

Transferring Optimality Across Data Distributions via Homotopy Methods. - Matilde Gargiani; Andrea Zanelli; Quoc Tran-Dinh; Moritz Diehl; Frank Hutter (ICLR, 2020)

On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs. - Matilde Gargiani; Andrea Zanelli; Moritz Diehl; Frank Hutter (CoRR, 2020)

Convergence Analysis of Homotopy-SGD for non-convex optimization. - Matilde Gargiani; Andrea Zanelli; Quoc Tran-Dinh; Moritz Diehl; Frank Hutter (CoRR, 2020)

On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control. - Andrea Martinelli; Matilde Gargiani; John Lygeros (CDC, 2021)

Policy Iteration for Multiplicative Noise Output Feedback Control. - Benjamin Gravell; Matilde Gargiani; John Lygeros; Tyler H. Summers (CDC, 2022)

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. - Matilde Gargiani; Andrea Zanelli; Andrea Martinelli; Tyler H. Summers; John Lygeros (ICML, 2022)

Data-driven optimal control with a relaxed linear program. - Andrea Martinelli; Matilde Gargiani; John Lygeros (Autom., 2022)

Dynamic Programming Through the Lens of Semismooth Newton-Type Methods. - Matilde Gargiani; Andrea Zanelli; Dominic Liao-McPherson; Tyler H. Summers; John Lygeros (IEEE Control. Syst. Lett., 2022)

Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective. - Andrea Martinelli; Matilde Gargiani; Marina Draskovic; John Lygeros (IEEE Control. Syst. Lett., 2022)

Parallel and Flexible Dynamic Programming via the Mini-Batch Bellman Operator. - Matilde Gargiani; Andrea Martinelli; Max Ruts Martinez; John Lygeros (IEEE Trans. Autom. Control., 2024)

madupite. - Matilde Gargiani; Philip Pawlowsky; Robin Sieber; Vaclav Hapla; John Lygeros (Zenodo, 2025)

madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes. - Matilde Gargiani; Philip Pawlowsky; Robin Sieber; Václav Hapla; John Lygeros (J. Open Source Softw., 2025)

Inside madupite: Technical Design and Performance. - Matilde Gargiani; Robin Sieber; Philip Pawlowsky; John Lygeros (CoRR, 2025)