Huang, Daolang

11 publications

NeurIPS 2025 ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, 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

AISTATS 2025 Cost-Aware Simulation-Based Inference Ayush Bharti, Daolang Huang, Samuel Kaski, Francois-Xavier Briol

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 2025 PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli

NeurIPS 2024 Amortized Bayesian Experimental Design for Decision-Making Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

NeurIPSW 2024 Amortized Decision-Aware Bayesian Experimental Design Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

ICMLW 2023 Augmenting Bayesian Optimization with Preference-Based Expert Feedback Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Milica Todorovic, Samuel Kaski

NeurIPS 2023 Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski

NeurIPS 2023 Practical Equivariances via Relational Conditional Neural Processes Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Luck, Samuel Kaski, Luigi Acerbi

ECCV 2020 Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen