Author

Mahyar Fazlyab

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Preprint Sep 2026

Anytime-Feasible Gradient Descent for Constrained Optimization Under Gradient Uncertainty

Constrained optimization is central to many engineering systems in which decisions must satisfy strict safety and operational requirements, especially in real-time settings with limited computational budgets. In such scenarios, optimization algorithms are often terminated before full convergence, making *anytime feasib...

Sina Sharifi, Jiarui Wang, Mahyar Fazlyab · 0 citations

#artificial intelligence Preprint Sep 2026

Beyond Average Safety: Chance-Constrained LLM Fine-tuning

This work proposes a chance-constrained formulation for safety-preserving fine-tuning that limits the fraction of safety examples whose degradation relative to a reference model exceeds a prescribed threshold and develops a constraint-aware gradient descent method that treats the majorized constraint as a safe set in p...

Taha Entesari, Mahyar Fazlyab · 0 citations