George J. Pappas

12

Papers

0

Total Citations

Papers (12)

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands

NeurIPS 2025arXiv

CViT: Continuous Vision Transformer for Operator Learning

Conformal Prediction with Learned Features

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Adversarial Robustness with Semi-Infinite Constrained Learning

NeurIPS 2021arXiv

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

NeurIPS 2021arXiv

Safe Pontryagin Differentiable Programming

NeurIPS 2021arXiv

Model-Based Domain Generalization

NeurIPS 2021arXiv

NOMAD: Nonlinear Manifold Decoders for Operator Learning

NeurIPS 2022arXiv

Probable Domain Generalization via Quantile Risk Minimization

NeurIPS 2022arXiv

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds

NeurIPS 2022arXiv

The noise level in linear regression with dependent data

NeurIPS 2023arXiv