Tobias Sutter
@tobiassutter.bsky.social
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Assistant Professor of Machine Learning University of Konstanz
New print on optimal decision making by exploiting statistical concentration properties of the underlying data generating process …
arxiv.org/pdf/2507.15215
4 months ago
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Tobias Sutter
David Boetius
4 months ago
I‘ll be presenting my poster on solving probabilistic verification problems of NNs at ICML today! Meet me at poster E-2302 :)
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To be presented at ICML 2025
arxiv.org/pdf/2405.17556
7 months ago
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New preprint on optimal offline RL
arxiv.org/pdf/2503.12283
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https://arxiv.org/pdf/2503.12283
8 months ago
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Tobias Sutter
Felix Petersen
12 months ago
I'm excited to share our NeurIPS 2024 paper "Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms" 🤖. Paper link 📜:
arxiv.org/abs/2410.19055
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Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
When training neural networks with custom objectives, such as ranking losses and shortest-path losses, a common problem is that they are, per se, non-differentiable. A popular approach is to continuou...
https://arxiv.org/abs/2410.19055
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