Publications

Efficient Adaptive Data Acquisition via Pretrained Belief Representations

Daolang Huang, Zhuoyue Huang, Conor Hassan, Luigi Acerbi, Samuel Kaski, Tom Rainforth

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

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

• Paper
• Code
• Project

PABBO: Preferential Amortized Black-Box Optimization

Xinyu Zhang*, Daolang Huang*, Samuel Kaski, Julien Martinelli

• Paper
• arXiv
• Code

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference

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

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• Code
• Project

Amortized Bayesian Experimental Design for Decision-Making

Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

• Paper
• arXiv
• Code

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

Daolang Huang*, Ayush Bharti*, Amauri Souza, Luigi Acerbi, Samuel Kaski

• Paper
• arXiv
• Code
• Project
• Poster

Practical Equivariances via Relational Conditional Neural Processes

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

• Paper
• arXiv
• Code
• Project
• Poster

Amortized Bayesian Experimental Design with In-Context Knowledge Conditioning

Zhanghu Zhao, Daolang Huang, Xinyi Wen, Samuel Kaski

Prediction-Powered Active Testing

Kianoosh Ashouritaklimi, Valentin Kilian, Daolang Huang, Tom Rainforth, Francois Caron

Constrained Bayesian Experimental Design via Online Planning

Yujia Guo, Daolang Huang, Xinyu Zhang, Sammie Katt, Samuel Kaski, Ayush Bharti

• Paper
• Code

In-Context Multi-Objective Optimization

Xinyu Zhang, Conor Hassan, Julien Martinelli, Daolang Huang, Samuel Kaski

• Paper
• Code

PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference

Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi

• Paper
• Code

Efficient Autoregressive Inference for Transformer Probabilistic Models

Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi

• Paper
• Code

Cost-aware Simulation-based Inference

Ayush Bharti, Daolang Huang, Samuel Kaski, F-X Briol

• Paper
• Code

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

Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen

• Paper
• Code