Tobias Sutter - RankMe

58 papers A* 9B 2Journal 43Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Policy Gradient Algorithms for Robust MDP\(\text{s}\) with Nonrectangular Uncertainty Sets. SIAM J. Optim. Mengmeng Li, Daniel Kuhn, Tobias Sutter
2025	J	`jnl`	A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance. CoRR Axel Friedrich Wolter, Tobias Sutter
2025	J	`jnl`	Computing Optimal Joint Chance Constrained Control Policies. IEEE Trans. Autom. Control. Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros
2025	J	`jnl`	Distributional Adversarial Attacks and Training in Deep Hedging. CoRR Guangyi He, Tobias Sutter, Lukas Gonon
2025	J	`jnl`	Reliability-Adjusted Prioritized Experience Replay. CoRR Leonard S. Pleiss, Tobias Sutter, Maximilian Schiffer
2025	A*	`conf`	Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound. ICML David Boetius, Stefan Leue, Tobias Sutter
2024	J	`jnl`	A Pareto Dominance Principle for Data-Driven Optimization. Oper. Res. Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn
2024	—	`conf`	Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series. TempXAI@PKDD/ECML Udo Schlegel, Daniel A. Keim, Tobias Sutter
2024	J	`jnl`	Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series. CoRR Udo Schlegel, Daniel A. Keim, Tobias Sutter
2024	J	`jnl`	Joint Chance Constrained Optimal Control via Linear Programming. CoRR Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
2024	J	`jnl`	Joint Chance Constrained Optimal Control via Linear Programming. IEEE Control. Syst. Lett. Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
2024	A*	`conf`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. NeurIPS Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	J	`jnl`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. CoRR Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	J	`jnl`	Probabilistic Verification of Neural Networks using Branch and Bound. CoRR David Boetius, Stefan Leue, Tobias Sutter
2024	A*	`conf`	Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. NeurIPS Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
2024	J	`jnl`	Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
2024	A*	`conf`	Regularized Q-learning through Robust Averaging. ICML Peter Schmitt-Förster, Tobias Sutter
2024	J	`jnl`	Regularized Q-learning through Robust Averaging. CoRR Peter Schmitt-Förster, Tobias Sutter
2023	A*	`conf`	A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks. ICML David Boetius, Stefan Leue, Tobias Sutter
2023	J	`jnl`	A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks. CoRR David Boetius, Stefan Leue, Tobias Sutter
2023	J	`jnl`	Computing Optimal Joint Chance Constrained Control Policies. CoRR Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros
2023	J	`jnl`	Efficient Learning of a Linear Dynamical System With Stability Guarantees. IEEE Trans. Autom. Control. Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2023	A*	`conf`	End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML Yves Rychener, Daniel Kuhn, Tobias Sutter
2023	J	`jnl`	End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. CoRR Yves Rychener, Daniel Kuhn, Tobias Sutter
2023	A*	`conf`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	J	`jnl`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	J	`jnl`	Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets. CoRR Mengmeng Li, Tobias Sutter, Daniel Kuhn
2022	J	`jnl`	Topological Linear System Identification via Moderate Deviations Theory. IEEE Control. Syst. Lett. Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2021	A*	`conf`	Distributionally Robust Optimization with Markovian Data. ICML Mengmeng Li, Tobias Sutter, Daniel Kuhn
2021	J	`jnl`	Distributionally Robust Optimization with Markovian Data. CoRR Mengmeng Li, Tobias Sutter, Daniel Kuhn
2021	J	`jnl`	Efficient Learning of a Linear Dynamical System with Stability Guarantees. CoRR Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2021	A*	`conf`	Robust Generalization despite Distribution Shift via Minimum Discriminating Information. NeurIPS Tobias Sutter, Andreas Krause, Daniel Kuhn
2021	J	`jnl`	Robust Generalization despite Distribution Shift via Minimum Discriminating Information. CoRR Tobias Sutter, Andreas Krause, Daniel Kuhn
2020	J	`jnl`	Quantum Legendre-Fenchel Transform. CoRR David Sutter, Giacomo Nannicini, Tobias Sutter, Stefan Woerner
2019	J	`jnl`	Generalized Maximum Entropy Estimation. J. Mach. Learn. Res. Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
2018	J	`jnl`	From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
2017	J	`jnl`	Capacity of random channels with large alphabets. Adv. Math. Commun. Tobias Sutter, David Sutter, John Lygeros
2017	J	`jnl`	Convex programming in optimal control and information theory. CoRR Tobias Sutter
2017	—	`conf`	Data-driven approximate dynamic programming: A linear programming approach. CDC Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros
2017	J	`jnl`	From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
2017	J	`jnl`	Generalized maximum entropy estimation. CoRR Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
2017	J	`jnl`	On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. CoRR Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
2017	J	`jnl`	On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. IEEE Control. Syst. Lett. Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
2016	J	`jnl`	A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes. J. Mach. Learn. Res. Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2016	J	`jnl`	Efficient Approximation of Quantum Channel Capacities. IEEE Trans. Inf. Theory David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
2015	J	`jnl`	A variational approach to path estimation and parameter inference of hidden diffusion processes. CoRR Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2015	J	`jnl`	Asymptotic Capacity of a Random Channel. CoRR Tobias Sutter, David Sutter, John Lygeros
2015	J	`jnl`	Efficient Approximation of Channel Capacities. IEEE Trans. Inf. Theory Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
2015	J	`jnl`	Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs. IEEE Trans. Autom. Control. Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
2014	—	`conf`	Approximation of constrained average cost Marks. CDC Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
2014	—	`conf`	Asymptotic capacity of a random channel. Allerton Tobias Sutter, David Sutter, John Lygeros
2014	B	`conf`	Capacity approximation of memoryless channels with countable output alphabets. ISIT Tobias Sutter, Peyman Mohajerin Esfahani, David Sutter, John Lygeros
2014	J	`jnl`	Efficient Approximation of Channel Capacities. CoRR Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
2014	J	`jnl`	Efficient Approximation of Quantum Channel Capacities. CoRR David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
2014	B	`conf`	Efficient approximation of discrete memoryless channel capacities. ISIT David Sutter, Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
2013	J	`jnl`	Isospectral flows on a class of finite-dimensional Jacobi matrices. Syst. Control. Lett. Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros
2013	J	`jnl`	Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs. CoRR Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
2012	J	`jnl`	Isospectral flows on a class of finite-dimensional Jacobi matrices CoRR Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros