Tobias Sutter
12 papers · 2016–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
🗃️
Keyword Collector
(68)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(8)
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Optimization
(5)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Mathematics
(1)
Keywords
distributionally robust optimization
(3)
bayesian inference
(2)
neural network
(2)
stochastic optimization
(2)
markov decision process
(2)
maximum entropy
(1)
probabilistic modeling
(1)
reinforcement learning
(1)
decision making
(1)
optimal control
(1)
fairness
(1)
loss function optimization
(1)
sample complexity
(1)
inverse reinforcement learning
(1)
q-learning
(1)
branch and bound
(1)
convex optimization
(1)
empirical risk minimization
(1)
formal methods
(1)
variational inference
(1)
Papers
A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance
JMLR 2026
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
ICML 2025
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NeurIPS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NeurIPS 2024
Regularized Q-learning through Robust Averaging
ICML 2024
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
ICML 2023
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
ICML 2023
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
ICLR 2023
Distributionally Robust Optimization with Markovian Data
ICML 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
NeurIPS 2021
Generalized Maximum Entropy Estimation
JMLR 2019
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes
JMLR 2016