4 papers
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization
Zhehao Li, Yanchen Wu, Jian Chen +1
Data-driven inverse optimization seeks to estimate unknown parameters in an optimization model from observations of optimization solutions. Many existing methods are ineffective in…
Contextual Linear Optimization with Partial Feedback
Yichun Hu, Nathan Kallus, Xiaojie Mao +1
Contextual linear optimization (CLO) uses predictive contextual features to reduce uncertainty in random cost coefficients in the objective and thereby improve decision-making perf…
Line Tension Reshapes Nucleation at Surface Edges: A Generalized Theory for Nanopore Activation
Yanchen Wu, Martin Z. Bazant, Allan S. Myerson +1
Heterogeneous nucleation at surface edges is pervasive across nature and industry, yet the role of line tension, arising from asymmetric capillary interactions at geometric singula…
Mechanistic Modeling of Lipid Nanoparticle Formation for the Delivery of Nucleic Acid Therapeutics
Pavan K. Inguva, Saikat Mukherjee, Pierre J. Walker +13
Nucleic acids such as mRNA have emerged as a promising therapeutic modality with the capability of addressing a wide range of diseases. Lipid nanoparticles (LNPs) as a delivery pla…