Daolang Huang

According to our database, Daolang Huang authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition.

Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi

CoRR, June, 2025

PABBO: Preferential Amortized Black-Box Optimization.

Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Cost-aware simulation-based inference.

Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference.

Paul E. Chang, Nasrulloh Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi

CoRR, 2024

Amortized Bayesian Experimental Design for Decision-Making.

Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.

Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski

CoRR, 2022

2020

Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing.

Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen

Proceedings of the Computer Vision - ECCV 2020, 2020