Amortized Inference

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8 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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Possibilistic Radial Transport for Approximate IM Inference
Oct 7, 2026Jungeum Kim, Percy ZhaiConfidence Region Estimation Amortized Inference
North Carolina State University · University of Chicago Booth School of Business
ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding
Oct 6, 2026Christophe Muller, Ayub Kharel, Alex Luedtke +6Amortized Inference Conditional Average Treatment Effect Estimation
University of Oxford · Harvard University · University of Illinois Urbana-Champaign +5
Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
Oct 2, 2026Maksym Tretiakov, Sarah Filippi, Vincent Fortuin +3Latent Variable Models Amortized Inference
LMU Munich · Munich Center for Machine Learning (MCML) · Imperial College London +3
Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure
Sep 30, 2026Daniel Habermann, Andreas Bulling, Stefan T. Radev +1Amortized Inference Hierarchical Bayesian Modeling
Department of Statistics TU Dortmund University, Germany · Institute for Visualisation and Interactive Systems University of Stuttgart, Germany · Department of Cognitive Science Rensselaer Polytechnic Institute, USA
Mitigating Representation Gaps in Amortized Bayesian Inference with Auxiliary Supervision
Sep 30, 2026Hans Olischläger, Svenja Jedhoff, Šimon Kucharský +3Simulation-Based Inference Amortized Inference
Department of Statistics, TU Dortmund University, Germany · Rensselaer Polytechnic Institute
Amortized Data Borrowing with Exchangeability-Aware Neural Posterior Estimation
Sep 30, 2026Chin-Hung Huang, JooChul Lee, Huan HeNeural Posterior Estimation Amortized Inference
Department of Mathematics and Statistics Auburn University
PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation
Sep 22, 2026Yuta TarumiAmortized Inference Data Assimilation
iTHEMS RIKEN Kobe, Japan
Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models
Sep 21, 2026Alex Kipnis, Marcel Binz, Eric SchulzNeural Posterior Estimation Amortized Inference
Institute for Human-Centered AI, Helmholtz Munich, Germany
Variational objectives for amortized Bayesian inference in inverse problems: The role of posterior conditioning
Sep 21, 2026Abhishek Srivastava, Arijit Hazra, Rajesh DubbakuAmortized Inference Bayesian Inverse Problems
Department of Mechanical Engineering, Indian Institute of Technology Palakkad · Department of Mathematics, Indian Institute of Technology Palakkad
Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks
Sep 17, 2026Cheng Jing, Abhishek Verma, Kallol Bera +2Amortized Inference Meta-Learning
Arizona State University · Applied Materials Inc.
Path-dependent Discrete Amortized Inference
Aug 9, 2026Tiago da Silva, Esmeralda S. Whitammer, Salem LahlouMarkov Decision Processes Latent Dynamics Modeling
1MBZUAI · University of Edinburgh · 3CIFAR Fellow
Amortized Interventional Forecasting for Multivariate CIR Processes
Aug 4, 2026Andreas Sauter, Sumit Sourabh, Drona Kandhai +1Causal Effect Estimation Quantitative Finance
Vrije Universiteit Amsterdam · ING · University of Amsterdam / ING +1
Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model
Aug 4, 2026Yufei Wu, Shanqing Gao, Andreas Voss +1Neural Posterior Estimation Cognitive Modeling
1KU Leuven, Belgium · 2Heidelberg University, Germany
RAMP: Recognition parametrisation by Amortised Message Passing
Jul 21, 2026Lior Fox, Kai Biegun, James Heald +3Unsupervised Learning Latent Variable Models
1Gatsby Computational Neuroscience Unit · Centre for Artificial Intelligence University College London
Deep Adaptive Bayesian Screening
Jul 18, 2026Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1Amortized Inference Adaptive Sampling
Mechatronics, Biostatistics and Sensors (MeBioS) · KU Leuven · Kasteelpark Arenberg 30, B-3001 Leuven (Heverlee) +3
Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty
Jul 13, 2026Jian Xu, Delu Zeng, John Paisley +1Quantum State Tomography Amortized Inference
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1
Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs
Jul 3, 2026Jakob Hartmann, James Harvey, Jhonathan Navott +5RL for Language Models Amortized Inference
University of Oxford, Oxford, United Kingdom · 2Ellison Institute of Technology, Oxford, United Kingdom
Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
Jun 30, 2026Jiachun Li, David Simchi-LeviCausal Effect Estimation Transformer
Laboratory for Information and Decision Systems, MIT
Accelerating Hierarchical Sparse Predictive Coding with Hybrid Amortized Inference
Jun 26, 2026Kazuhisa FujitaSparse Recovery Efficient Inference
Department of Clinical Engineering, Komatsu University, 10-10 Doihara-Machi, Komatsu, Ishikawa, Japan 923-0921
Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models
Jun 21, 2026Rodrigo Herrera, Vianey Leos-Barajas, Gwendolyn Eadie +2Neural Surrogate Modeling Amortized Inference
Department of Statistical Sciences, University of Toronto · Data Sciences Institute, University of Toronto · School of the Environment, University of Toronto +3
Multi-Task Bayesian In-Context Learning
Jun 18, 2026Qingyang Zhu, Eric Karl Oermann, Kyunghyun ChoAmortized Inference Bayesian Inference
New York University · NYU Langone Health
FoundCause: Causal Discovery with Latent Confounders from Observational Data
Jun 16, 2026Patrick Blöbaum, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanStructural Causal Models Amortized Inference
Amazon Web Services · Department of Statistics, University of California, Davis
Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows
Jun 16, 2026Alejandro Calle-Saldarriaga, Felix Jimenez, Jack Grosskreuz +3Amortized Inference Remote Sensing
Department of Statistics, University of Wisconsin–Madison · Jet Propulsion Laboratory, California Institute of Technology
Amortized mean-shift interacting particles
Jun 14, 2026Ali SiahkoohiAmortized Inference Bayesian Inverse Problems
Department of Computer Science University of Central Florida
In-Context Graphical Inference
Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao SunAmortized Inference Probabilistic Graphical Models
Department of Computer Science, University of Oxford, Oxford, United Kingdom · FLock.io, London, United Kingdom
APIC: Amortized Physics-Informed Calibration using Neural Processes
Jun 2, 2026Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Joachim DenzlerUncertainty Quantification Amortized Inference
Computer Vision Group, Friedrich Schiller University Jena, Germany
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
May 29, 2026Zhengyang Hu, Yanzhi Chen, Hanxiang Ren +5Amortized Inference Mutual Information Estimation
The University of Hong Kong · University of Cambridge · Microsoft +2
Symbolic Regression via Latent Iterative Refinement
May 26, 2026Xieting Chu, Sriram Vishwanath, Vijay GaneshLatent Variable Models Amortized Inference
Georgia Institute of Technology
Amortized Factor Inference Networks for Posterior Inference
May 26, 2026Joohwan Ko, Justin DomkeAmortized Inference Bayesian Inference
Manning College of Information and Computer Sciences University of Massachusetts Amherst
Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion
May 22, 2026Jaihoon Kim, Taehoon Yoon, Prin Phunyaphibarn +3Markov Chain Monte Carlo Amortized Inference
1KAIST · University of Michigan · 3NVIDIA

Oct 7, 2026, stat.MLJ/K move · Enter open · S save

Possibilistic Radial Transport for Approximate IM Inference

Jungeum Kim, Percy Zhai

North Carolina State University · University of Chicago Booth School of Business

Confidence Region Estimation Amortized Inference

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Probing the hypothesis space after seeing the data remains valid under possibilistic inferential models (IMs), provided the significance level stays fixed. The price is computation, as each plausibility is a supremum of the possibility contour over the hypothesis, and the contour itself is approximated at each queried parameter value. We propose a possibilistic radial transport, which hides the contour value of a parameter in the radius of its source point. When a transport that maximizes within-shell entropy is picked, sampling parameters covering a confidence cut becomes a matter of truncating the radius. We provide a deep learning algorithm that enforces the contour depth condition while maximizing the entropy within each shell. Our amortization makes coverage and power assessments of the learned approximation practical as well as predictive check of new datasets. We also use the sampler to construct a Bel-Pl spectrum for comparing and selecting interpretable hypotheses that satisfy a prescribed Bel-Pl decision criterion. In simulations the learned contours match or improve on ellipsoidal approximations to the cuts, while the coverage and power track the exact reference. Finally, we probe hypotheses about ovarian aging using synthetic AMH records, asking for each woman how many more years her median AMH level will remain above a specified reference value.

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