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cs.LG2026
Soft-Radial Projection for Constrained End-to-End Learning
Philipp J. Schneider, Daniel Kuhn
Integrating hard constraints into deep learning is essential for safety-critical systems. Yet existing constructive layers that project predictions onto constraint boundaries face…
cs.LG2025
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
Mengmeng Li, Daniel Kuhn, Bahar TaÅkesen
Follow-The-Regularized-Leader (FTRL) algorithms often enjoy optimal regret for adversarial as well as stochastic bandit problems and allow for a streamlined analysis. Nonetheless,…