Tobias Sutter

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Randomized Algorithm

Chance Constrained

Top Venues

IEEE Control. Syst. Lett.

IEEE Trans. Inf. Theory

Publications

Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
Joint Chance Constrained Optimal Control via Linear Programming. IEEE Control. Syst. Lett. 8 (2024)
Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
Joint Chance Constrained Optimal Control via Linear Programming. CoRR (2024)
Peter Schmitt-Förster, Tobias Sutter
Regularized Q-learning through Robust Averaging. CoRR (2024)
David Boetius, Stefan Leue, Tobias Sutter
Probabilistic Verification of Neural Networks using Branch and Bound. CoRR (2024)
Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR (2024)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Efficient Learning of a Linear Dynamical System With Stability Guarantees. IEEE Trans. Autom. Control. 68 (5) (2023)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR (2023)
David Boetius, Stefan Leue, Tobias Sutter
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks. ICML (2023)
Yves Rychener, Daniel Kuhn, Tobias Sutter
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML (2023)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets. CoRR (2023)
David Boetius, Stefan Leue, Tobias Sutter
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks. CoRR (2023)
Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros
Computing Optimal Joint Chance Constrained Control Policies. CoRR (2023)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR (2023)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Topological Linear System Identification via Moderate Deviations Theory. IEEE Control. Syst. Lett. 6 (2022)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Efficient Learning of a Linear Dynamical System with Stability Guarantees. CoRR (2021)
Tobias Sutter, Andreas Krause, Daniel Kuhn
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. NeurIPS (2021)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Distributionally Robust Optimization with Markovian Data. ICML (2021)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Distributionally Robust Optimization with Markovian Data. CoRR (2021)
Tobias Sutter, Andreas Krause, Daniel Kuhn
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. CoRR (2021)
David Sutter, Giacomo Nannicini, Tobias Sutter, Stefan Woerner
Quantum Legendre-Fenchel Transform. CoRR (2020)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Generalized Maximum Entropy Estimation. J. Mach. Learn. Res. 20 (2019)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. 28 (3) (2018)
Tobias Sutter, David Sutter, John Lygeros
Capacity of random channels with large alphabets. Adv. Math. Commun. 11 (4) (2017)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR (2017)
Tobias Sutter
Convex programming in optimal control and information theory. CoRR (2017)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. CoRR (2017)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Generalized maximum entropy estimation. CoRR (2017)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. IEEE Control. Syst. Lett. 1 (1) (2017)
Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros
Data-driven approximate dynamic programming: A linear programming approach. CDC (2017)
David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
Efficient Approximation of Quantum Channel Capacities. IEEE Trans. Inf. Theory 62 (1) (2016)
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes. J. Mach. Learn. Res. 17 (2016)
Tobias Sutter, David Sutter, John Lygeros
Asymptotic Capacity of a Random Channel. CoRR (2015)
Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs. IEEE Trans. Autom. Control. 60 (1) (2015)
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
A variational approach to path estimation and parameter inference of hidden diffusion processes. CoRR (2015)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Efficient Approximation of Channel Capacities. IEEE Trans. Inf. Theory 61 (4) (2015)
Tobias Sutter, David Sutter, John Lygeros
Asymptotic capacity of a random channel. Allerton (2014)
David Sutter, Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
Efficient approximation of discrete memoryless channel capacities. ISIT (2014)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Efficient Approximation of Channel Capacities. CoRR (2014)
Tobias Sutter, Peyman Mohajerin Esfahani, David Sutter, John Lygeros
Capacity approximation of memoryless channels with countable output alphabets. ISIT (2014)
David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
Efficient Approximation of Quantum Channel Capacities. CoRR (2014)
Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
Approximation of constrained average cost Marks. CDC (2014)
Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs. CoRR (2013)
Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros
Isospectral flows on a class of finite-dimensional Jacobi matrices. Syst. Control. Lett. 62 (5) (2013)
Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros
Isospectral flows on a class of finite-dimensional Jacobi matrices CoRR (2012)