Holmes, Christopher C.

12 publications

AISTATS 2025 Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Christopher C. Holmes, Yishai Shimoni

AISTATS 2025 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition Jake Fawkes, Lucile Ter-Minassian, Desi R. Ivanova, Uri Shalit, Christopher C. Holmes

AISTATS 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation Ziyu Wang, Christopher C. Holmes

TMLR 2024 Approximations to the Fisher Information Metric of Deep Generative Models for Out-of-Distribution Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

ICLRW 2024 Are Large Language Models Bayesian? a Martingale Perspective on In-Context Learning Fabian Falck, Ziyu Wang, Christopher C. Holmes

ICML 2024 Is In-Context Learning in Large Language Models Bayesian? a Martingale Perspective Fabian Falck, Ziyu Wang, Christopher C. Holmes

ICLRW 2023 On Gradients of Deep Generative Models for Representation-Invariant Anomaly Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

ICML 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz, Robin J. Evans, Christopher C. Holmes

NeurIPSW 2023 Towards Representation Learning for General Weighting Problems in Causal Inference Oscar Clivio, Avi Feller, Christopher C. Holmes

ICLR 2021 Improving VAEs' Robustness to Adversarial Attack Matthew JF Willetts, Alexander Camuto, Tom Rainforth, S Roberts, Christopher C Holmes

MLJ 2003 Classification with Bayesian MARS Christopher C. Holmes, Dave Denison

NeCo 1998 Bayesian Radial Basis Functions of Variable Dimension Christopher C. Holmes, Bani K. Mallick