Chang, Paul Edmund

6 publications

ICLR 2026 Efficient Autoregressive Inference for Transformer Probabilistic Models Conor Hassan, Nasrulloh Ratu Bagus Satrio Loka, Cen-You Li, Daolang Huang, Paul Edmund Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi

ICLR 2026 PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference Yang Yang, Severi Rissanen, Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi

AISTATS 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi

ICLRW 2025 Inference-Time Prior Adaptation in Simulation-Based Inference via Guided Diffusion Models Paul Edmund Chang, Severi Rissanen, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Luigi Acerbi

ICLR 2024 Function-Space Parameterization of Neural Networks for Sequential Learning Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin

ICML 2023 Memory-Based Dual Gaussian Processes for Sequential Learning Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan