McCarter, Calvin

9 publications

ICLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

TMLR 2025 Unmasking Trees for Tabular Data Calvin McCarter

NeurIPSW 2024 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yucen Lily Li, Yilun Kuang, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

TMLR 2024 Towards Backwards-Compatible Data with Confounded Domain Adaptation Calvin McCarter

NeurIPSW 2024 Unmasking Trees for Tabular Data Calvin McCarter

NeurIPSW 2023 Inverse Distance Weighting Attention Calvin McCarter

TMLR 2023 The Kernel Density Integral Transformation Calvin McCarter

AISTATS 2016 Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models Calvin McCarter, Seyoung Kim

NeurIPS 2014 On Sparse Gaussian Chain Graph Models Calvin McCarter, Seyoung Kim