Daolang Huang - RankMe

18 papers A* 4A 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition. CoRR Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
2025	A	`conf`	Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. AISTATS Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2025	A	`conf`	Cost-aware simulation-based inference. AISTATS Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol
2025	J	`jnl`	Efficient Autoregressive Inference for Transformer Probabilistic Models. CoRR Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
2025	J	`jnl`	In-Context Multi-Objective Optimization. CoRR Xinyu Zhang, Conor Hassan, Julien Martinelli, Daolang Huang, Samuel Kaski
2025	A*	`conf`	PABBO: Preferential Amortized Black-Box Optimization. ICLR Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025	J	`jnl`	PABBO: Preferential Amortized Black-Box Optimization. CoRR Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025	J	`jnl`	PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference. CoRR Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi
2024	A*	`conf`	Amortized Bayesian Experimental Design for Decision-Making. NeurIPS Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024	J	`jnl`	Amortized Bayesian Experimental Design for Decision-Making. CoRR Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024	J	`jnl`	Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. CoRR Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2024	J	`jnl`	Cost-aware Simulation-based Inference. CoRR Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol
2023	A*	`conf`	Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023	J	`jnl`	Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023	A*	`conf`	Practical Equivariances via Relational Conditional Neural Processes. NeurIPS Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023	J	`jnl`	Practical Equivariances via Relational Conditional Neural Processes. CoRR Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2022	J	`jnl`	Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. CoRR Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski
2020	—	`conf`	Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing. ECCV (9) Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen