Tobias Sutter
Scholar

Tobias Sutter

Google Scholar ID: 11gxHJIAAAAJ
University of St.Gallen
ControlOptimizationEconometricsMachine LearningInformation Theory
Citations & Impact
All-time
Citations
435
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • Paper 'Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets' accepted at SIAM Journal on Optimization (SIOPT)
  • Paper 'Distributional Adversarial Attacks and Training in Deep Hedging' accepted to NeurIPS 2025
  • Paper 'Probabilistic Verification of Neural Networks using Branch and Bound' accepted at ICML 2025
  • Paper 'Computing Optimal Joint Chance Constrained Control Policies' accepted to IEEE Transactions on Automatic Control
  • Two papers accepted at NeurIPS 2024: 'Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces' and 'Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms'
  • Paper 'Regularized Q-learning through Robust Averaging' accepted at ICML 2024
  • ETH Medal for Outstanding Doctoral Thesis – 2018
  • IEEE George S. Axelby Outstanding Paper Award – 2016