Tobias Sutter

IEEE Trans. Autom. Control., May, 2023

Computing Optimal Joint Chance Constrained Control Policies.

[BibT_eX]

[DOI]

CoRR, 2023

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets.

[BibT_eX]

[DOI]

Mengmeng Li

CoRR, 2023

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective.

[BibT_eX]

[DOI]

Yves Rychener

Proceedings of the International Conference on Machine Learning, 2023

A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks.

[BibT_eX]

[DOI]

David Boetius

Stefan Leue

Proceedings of the International Conference on Machine Learning, 2023

ISAAC Newton: Input-based Approximate Curvature for Newton's Method.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Topological Linear System Identification via Moderate Deviations Theory.

[BibT_eX]

[DOI]

Wouter Jongeneel

IEEE Control. Syst. Lett., 2022

2021

Robust Generalization despite Distribution Shift via Minimum Discriminating Information.

[BibT_eX]

[DOI]

Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributionally Robust Optimization with Markovian Data.

[BibT_eX]

[DOI]

Mengmeng Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quantum Legendre-Fenchel Transform.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Generalized Maximum Entropy Estimation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

2018

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.

[BibT_eX]

[DOI]

SIAM J. Optim., 2018

2017

On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems.

[BibT_eX]

[DOI]

Angeliki Kamoutsi

IEEE Control. Syst. Lett., 2017

Convex programming in optimal control and information theory.

[BibT_eX]

[DOI]

CoRR, 2017

Capacity of random channels with large alphabets.

[BibT_eX]

[DOI]

Adv. Math. Commun., 2017

Data-driven approximate dynamic programming: A linear programming approach.

[BibT_eX]

[DOI]

Angeliki Kamoutsi

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Efficient Approximation of Quantum Channel Capacities.

[BibT_eX]

[DOI]

Renato Renner

IEEE Trans. Inf. Theory, 2016

A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes.

[BibT_eX]

[DOI]

Arnab Ganguly

Heinz Koeppl

J. Mach. Learn. Res., 2016

2015

Efficient Approximation of Channel Capacities.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

2014

Capacity approximation of memoryless channels with countable output alphabets.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Efficient approximation of discrete memoryless channel capacities.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Approximation of constrained average cost Marks.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Asymptotic capacity of a random channel.

[BibT_eX]

[DOI]