1 citations · 1 across the 18 of their papers we have counts for
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A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
Uncertainty quantification from finite data is central to machine learning, optimization, and automation systems, where decisions must remain reliable under limited samples and tes…
Constrained Variational Inference via Safe Particle Flow
Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
We propose a control barrier function (CBF) formulation for enforcing equality and inequality constraints in variational inference. The key idea is to define a barrier functional o…
Stabilization of Nonlinear Systems through Control Barrier Functions
Pol Mestres, Kehan Long, Melvin Leok +2
This paper proposes a control design approach for stabilizing nonlinear control systems. Our key observation is that the set of points where the decrease condition of a control Lya…
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers
Pol Mestres, Kehan Long, Nikolay Atanasov +1
This paper studies the well-posedness and regularity of safe stabilizing optimization-based controllers for control-affine systems in the presence of model uncertainty. When the sy…