| Performance bounds for the scenario approach and an extension to a class of non-convex programs PM Esfahani, T Sutter, J Lygeros IEEE Transactions on Automatic Control 60 (1), 46-58, 2014 | 134 | 2014 |
| Efficient approximation of quantum channel capacities D Sutter, T Sutter, PM Esfahani, R Renner IEEE Transactions on Information Theory 62 (1), 578-598, 2015 | 44 | 2015 |
| From infinite to finite programs: Explicit error bounds with applications to approximate dynamic programming P Mohajerin Esfahani, T Sutter, D Kuhn, J Lygeros SIAM Journal on Optimization 28 (3), 1968-1998, 2018 | 40 | 2018 |
| A variational approach to path estimation and parameter inference of hidden diffusion processes T Sutter, A Ganguly, H Koeppl The Journal of Machine Learning Research 17 (1), 6544-6580, 2016 | 22 | 2016 |
| A general framework for optimal data-driven optimization T Sutter, BPG Van Parys, D Kuhn arXiv preprint arXiv:2010.06606, 2020 | 16 | 2020 |
| On infinite linear programming and the moment approach to deterministic infinite horizon discounted optimal control problems A Kamoutsi, T Sutter, PM Esfahani, J Lygeros IEEE control systems letters 1 (1), 134-139, 2017 | 16 | 2017 |
| Approximation of constrained average cost Markov control processes T Sutter, PM Esfahani, J Lygeros 53rd IEEE Conference on Decision and Control, 6597-6602, 2014 | 13 | 2014 |
| Data-driven approximate dynamic programming: A linear programming approach T Sutter, A Kamoutsi, PM Esfahani, J Lygeros 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5174-5179, 2017 | 12 | 2017 |
| Generalized maximum entropy estimation T Sutter, D Sutter, PM Esfahani, J Lygeros Journal of Machine Learning Research 20, 138, 2019 | 10 | 2019 |
| Efficient learning of a linear dynamical system with stability guarantees W Jongeneel, T Sutter, D Kuhn IEEE Transactions on Automatic Control, 2022 | 8 | 2022 |
| Efficient approximation of discrete memoryless channel capacities D Sutter, PM Esfahani, T Sutter, J Lygeros 2014 IEEE International Symposium on Information Theory, 2904-2908, 2014 | 8 | 2014 |
| Robust generalization despite distribution shift via minimum discriminating information T Sutter, A Krause, D Kuhn Advances in Neural Information Processing Systems 34, 29754-29767, 2021 | 5 | 2021 |
| Distributionally robust optimization with markovian data M Li, T Sutter, D Kuhn International Conference on Machine Learning, 6493-6503, 2021 | 5 | 2021 |
| Topological linear system identification via moderate deviations theory W Jongeneel, T Sutter, D Kuhn IEEE Control Systems Letters 6, 307-312, 2021 | 5 | 2021 |
| Capacity approximation of memoryless channels with countable output alphabets T Sutter, PM Esfahani, D Sutter, J Lygeros 2014 IEEE International Symposium on Information Theory, 2909-2913, 2014 | 5 | 2014 |
| A general framework for optimal Data-Driven optimization. October 2020 T Sutter, BPG Van Parys, D Kuhn URL http://arxiv. org/abs/2010 6606 (6.5), 6.6, 2010 | 5 | 2010 |
| Signals and Systems II J Lygeros, T Sutter Mechanical Engineering 138 (06), S17-S21, 2016 | 4 | 2016 |
| Quantum speedups for convex dynamic programming D Sutter, G Nannicini, T Sutter, S Woerner arXiv preprint arXiv:2011.11654, 2020 | 3 | 2020 |
| Isospectral flows on a class of finite-dimensional Jacobi matrices T Sutter, D Chatterjee, FA Ramponi, J Lygeros Systems & Control Letters 62 (5), 388-394, 2013 | 3 | 2013 |
| Quantum Legendre-Fenchel transform D Sutter, G Nannicini, T Sutter, S Woerner arXiv preprint arXiv:2006.04823, 2020 | 2 | 2020 |
John LygerosProf. of Computation and Control, ETH ZurichVerified email at ethz.ch
