Duncan, Andrew B.

8 publications

AISTATS 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero Encinar, Tobias Schröder, Peter Yatsyshin, Andrew B. Duncan

ICLRW 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero Encinar, Tobias Schröder, Peter Yatsyshin, Andrew B. Duncan

ICML 2025 Robust and Conjugate Spatio-Temporal Gaussian Processes William Laplante, Matias Altamirano, Andrew B. Duncan, Jeremias Knoblauch, Francois-Xavier Briol

NeurIPS 2025 Sampling by Averaging: A Multiscale Approach to Score Estimation Paula Cordero Encinar, Andrew B. Duncan, Sebastian Reich, O. Deniz Akyildiz

ICLRW 2024 Optimal Experimental Design for Bayesian Inverse Problems Using Energy-Based Couplings Paula Cordero Encinar, Tobias Schröder, Andrew B. Duncan

ICMLW 2023 Training Discrete EBMs with Energy Discrepancy Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan

ICML 2023 Using Perturbation to Improve Goodness-of-Fit Tests Based on Kernelized Stein Discrepancy Xing Liu, Andrew B. Duncan, Axel Gandy

JMLR 2022 A Kernel Two-Sample Test for Functional Data George Wynne, Andrew B. Duncan