Nott, David J

4 publications

TMLR 2025 Multi-Objective Bayesian Optimization for Likelihood-Free Inference in Sequential Sampling Models of Decision Making David Chen, Xinwei Li, Eui-Jin Kim, Prateek Bansal, David J Nott

TMLR 2025 Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim, Scott A Sisson, Thais Carvalho Valadares Rodrigues, David J Nott, Guilherme S. Rodrigues

ECML-PKDD 2024 Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott

TMLR 2024 Misspecification-Robust Sequential Neural Likelihood for Simulation-Based Inference Ryan P. Kelly, David J Nott, David Tyler Frazier, David J Warne, Christopher Drovandi