Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
Fuente:
arXiv
Saved in:
| Main Authors: | Hedman, Marcel, Ivanova, Desi R., Guan, Cong, Rainforth, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
by: Bracher, Niels, et al.
Published: (2025)
by: Bracher, Niels, et al.
Published: (2025)
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
A Geometric Approach to Optimal Experimental Design
by: Kerrigan, Gavin, et al.
Published: (2025)
by: Kerrigan, Gavin, et al.
Published: (2025)
Amortized Bayesian Experimental Design for Decision-Making
by: Huang, Daolang, et al.
Published: (2024)
by: Huang, Daolang, et al.
Published: (2024)
Loss-Driven Bayesian Active Learning
by: Huang, Zhuoyue, et al.
Published: (2026)
by: Huang, Zhuoyue, et al.
Published: (2026)
Making Better Use of Unlabelled Data in Bayesian Active Learning
by: Smith, Freddie Bickford, et al.
Published: (2024)
by: Smith, Freddie Bickford, et al.
Published: (2024)
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
by: Reichelt, Tim, et al.
Published: (2023)
by: Reichelt, Tim, et al.
Published: (2023)
Active Learning with Task-Driven Representations for Messy Pools
by: Ashouritaklimi, Kianoosh, et al.
Published: (2025)
by: Ashouritaklimi, Kianoosh, et al.
Published: (2025)
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
by: Iqbal, Sahel, et al.
Published: (2024)
by: Iqbal, Sahel, et al.
Published: (2024)
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
by: Choudhury, Deepro, et al.
Published: (2025)
by: Choudhury, Deepro, et al.
Published: (2025)
Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)
by: Sharma, Mrinank, et al.
Published: (2023)
Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
by: Bowyer, Sam, et al.
Published: (2025)
by: Bowyer, Sam, et al.
Published: (2025)
On the Expected Size of Conformal Prediction Sets
by: Dhillon, Guneet S., et al.
Published: (2023)
by: Dhillon, Guneet S., et al.
Published: (2023)
Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling
by: Lamb, Tom A., et al.
Published: (2026)
by: Lamb, Tom A., et al.
Published: (2026)
Amortized Bayesian Workflow
by: Li, Chengkun, et al.
Published: (2024)
by: Li, Chengkun, et al.
Published: (2024)
Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs
by: Nguyen-Hien, T. Duy, et al.
Published: (2025)
by: Nguyen-Hien, T. Duy, et al.
Published: (2025)
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
by: Kossen, Jannik, et al.
Published: (2023)
by: Kossen, Jannik, et al.
Published: (2023)
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
by: Campbell, Andrew, et al.
Published: (2024)
by: Campbell, Andrew, et al.
Published: (2024)
Amortized Bayesian Mixture Models
by: Kucharský, Šimon, et al.
Published: (2025)
by: Kucharský, Šimon, et al.
Published: (2025)
Amortized Bayesian Multilevel Models
by: Habermann, Daniel, et al.
Published: (2024)
by: Habermann, Daniel, et al.
Published: (2024)
Sensitivity-Aware Amortized Bayesian Inference
by: Elsemüller, Lasse, et al.
Published: (2023)
by: Elsemüller, Lasse, et al.
Published: (2023)
Unsupervised Continual Learning for Amortized Bayesian Inference
by: Mishra, Aayush, et al.
Published: (2026)
by: Mishra, Aayush, et al.
Published: (2026)
Amortized In-Context Bayesian Posterior Estimation
by: Mittal, Sarthak, et al.
Published: (2025)
by: Mittal, Sarthak, et al.
Published: (2025)
Prediction-Oriented Subsampling from Data Streams
by: Mussati, Benedetta Lavinia, et al.
Published: (2025)
by: Mussati, Benedetta Lavinia, et al.
Published: (2025)
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
by: Fawkes, Jake, et al.
Published: (2024)
by: Fawkes, Jake, et al.
Published: (2024)
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
by: Huang, Daolang, et al.
Published: (2025)
by: Huang, Daolang, et al.
Published: (2025)
From Mice to Trains: Amortized Bayesian Inference on Graph Data
by: Jedhoff, Svenja, et al.
Published: (2026)
by: Jedhoff, Svenja, et al.
Published: (2026)
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems
by: Orozco, Rafael, et al.
Published: (2024)
by: Orozco, Rafael, et al.
Published: (2024)
Coordinate Heart System: A Geometric Framework for Emotion Representation
by: Al-Desi, Omar
Published: (2025)
by: Al-Desi, Omar
Published: (2025)
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
by: Arruda, Jonas, et al.
Published: (2026)
by: Arruda, Jonas, et al.
Published: (2026)
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
by: Qi, Shi-ang, et al.
Published: (2026)
by: Qi, Shi-ang, et al.
Published: (2026)
Bayesian Program Learning by Decompiling Amortized Knowledge
by: Palmarini, Alessandro B., et al.
Published: (2023)
by: Palmarini, Alessandro B., et al.
Published: (2023)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
by: Seletkov, Dmitrii, et al.
Published: (2026)
by: Seletkov, Dmitrii, et al.
Published: (2026)
BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
by: Kühmichel, Lars, et al.
Published: (2026)
by: Kühmichel, Lars, et al.
Published: (2026)
Scaling Up Active Testing to Large Language Models
by: Berrada, Gabrielle, et al.
Published: (2025)
by: Berrada, Gabrielle, et al.
Published: (2025)
Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
by: Lee, Jaewoo, et al.
Published: (2026)
by: Lee, Jaewoo, et al.
Published: (2026)
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes
by: Feng, Brandon R., et al.
Published: (2024)
by: Feng, Brandon R., et al.
Published: (2024)
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
by: Scheurer, Stefania, et al.
Published: (2025)
by: Scheurer, Stefania, et al.
Published: (2025)
Similar Items
-
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
by: Bracher, Niels, et al.
Published: (2025) -
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
by: Schmitt, Marvin, et al.
Published: (2023) -
A Geometric Approach to Optimal Experimental Design
by: Kerrigan, Gavin, et al.
Published: (2025) -
Amortized Bayesian Experimental Design for Decision-Making
by: Huang, Daolang, et al.
Published: (2024) -
Loss-Driven Bayesian Active Learning
by: Huang, Zhuoyue, et al.
Published: (2026)