Lygeros, John

19 publications

AISTATS 2025 Contractivity and Linear Convergence in Bilinear Saddle-Point Problems: An Operator-Theoretic Approach Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas, John Lygeros, Florian Dorfler

L4DC 2025 DeePC-Hunt: Data-Enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Michael Cummins, Alberto Padoan, Keith Moffat, Florian Dorfler, John Lygeros

ICML 2025 Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design Marino Kühne, Panagiotis D. Grontas, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dorfler, John Lygeros

AISTATS 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context Francesco Micheli, Efe C. Balta, Anastasios Tsiamis, John Lygeros

L4DC 2024 Convergence Guarantees for Adaptive Model Predictive Control with Kinky Inference Riccardo Zuliani, Raffaele Soloperto, John Lygeros

ICMLW 2024 DeePC-Hunt: Data-Enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Michael Cummins, Alberto Padoan, Keith Moffat, John Lygeros, Florian Dorfler

ICMLW 2024 Finite Sample Identification: From Frequency to Time Domain Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith, John Lygeros

ICML 2024 Predictive Linear Online Tracking for Unknown Targets Anastasios Tsiamis, Aren Karapetyan, Yueshan Li, Efe C. Balta, John Lygeros

NeurIPS 2024 Randomized Algorithms and PAC Bounds for Inverse Reinforcement Learning in Continuous Spaces Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros

NeurIPS 2024 Safe Time-Varying Optimization Based on Gaussian Processes with Spatio-Temporal Kernel Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros

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

L4DC 2022 Safe Control with Minimal Regret Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate

ICML 2021 Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi, Goran Banjac, John Lygeros

L4DC 2021 Input Convex Neural Networks for Building MPC Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros

L4DC 2021 Preface Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger

L4DC 2020 Learning Solutions to Hybrid Control Problems Using Benders Cuts Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari

JMLR 2019 Generalized Maximum Entropy Estimation Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros

JAIR 2017 The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros

NeurIPS 2007 Simulated Annealing: Rigorous Finite-Time Guarantees for Optimization on Continuous Domains Andrea Lecchini-visintini, John Lygeros, Jan Maciejowski