Parameter Estimation

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9 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Decomposition for Bayesian Networks: Local and Parallel Inference

    Jul 6, 2026Pei Heng, Xinyi Hu, Yi SunParameter EstimationBayesian Networks

    Institute of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi, China

  2. A Gradient Flow Perspective on Minimum MMD Estimation

    Jul 4, 2026Sophia Seulkee Kang, Louis Sharrock, Xiaoyuan Cheng +2Parameter EstimationMaximum Mean Discrepancy

    Independent Researcher · University College London

  3. Neural Network-Based Estimation of Time-Dependent Parameters in AR(p) Processes

    Jul 1, 2026Agnieszka Kopeć, Paweł Przybyłowicz, Martyna WiącekParameter EstimationProbabilistic Forecasting

  4. XMSE-Aware Adaptive Empirical Bayes Estimation

    Jun 25, 2026Minghao Chen, Jiale ZhengParameter EstimationEmpirical Bayes

    Tencent Technology, Shenzhen, China · Huawei Noah’s Ark Lab, Shenzhen, China

  5. Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach

    Jun 23, 2026Cristian Brugnara, Lea Multerer, Marco Forgione +1Irregular Time-Series ModelingParameter Estimation

    SUPSI, Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), Lugano, Switzerland

  6. The Degeneracy Distillery

    Jun 22, 2026T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey +1Simulation-Based InferenceParameter Estimation

    Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Rd, Cambridge CB3 0WA, United Kingdom · Imperial Centre for Inference and Cosmology (ICIC), Imperial College London, Prince Consort Road, London SW7 2AZ, United Kingdom · Astrophysics, University of Oxford, Oxford OX1 3RH, United Kingdom +5

  7. Neural Parameter Calibration for Finite-State Mean Field Games

    Jun 22, 2026Anna C. M. Thöni, Grégoire Lambrecht, Gökçe Dayanıklı +3Parameter EstimationMean Field Games

    Radboud University, Nijmegen, the Netherlands · New York University, New York, NY · University of Illinois Urbana-Champaign, Champaign, IL +2

  8. Dynestyx: A Probabilistic Programming Library for Dynamical Systems

    Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Dynamical SystemsParameter Estimation

    1Basis Research Institute · 2Massachusetts Institute of Technology

  9. MA-SBI: Misspecification-Aware Simulation-Based Inference via Side-Channel Guidance

    Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Simulation-Based InferenceParameter Estimation

    University College of Engineering, Anna University Tiruchirappalli, Tamil Nadu, India · Central University of Karnataka, India · National Institute of Technology Tiruchirappalli, India +1

  10. Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture Simulation

    Jun 15, 2026Adrian Ramlal, Yuhao Chen, John S. ZelekParameter EstimationReinforcement Learning

    University of Waterloo

  11. Closing the Approximation Gap in Simulation-free Latent SDEs

    Jun 15, 2026Henry D. Smith, Brian L. Trippe, Scott W. LindermanParameter EstimationStochastic Differential Equations

    Stanford University

  12. Multi-Variable Stellar Parameter Estimation Using Residual Multitask Neural Networks

    Jun 11, 2026Bruno Santos Meneses Barreto, Marcio EisencraftParameter EstimationMulti-Task Learning

    Escola Polit´ecnica, Universidade de S˜ao Paulo, SP

  13. Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms

    Jun 11, 2026Andreas Faust, Sven Nitzsche, Juergen BeckerStochastic OptimizationParameter Estimation

    University of Freiburg, Freiburg, Germany · FZI Research Center for Information Technology, Karlsruhe, Germany · Karlsruhe Institute of Technology, Karlsruhe, Germany

  14. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

    Jun 11, 2026Masahiro KatoSemiparametric InferenceParameter Estimation

    Data Analytics Department, Mizuho-DL Financial Technology, Co., Ltd.

  15. Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability

    Jun 10, 2026Riya Bisht, Dhruv AgarwalDynamical SystemsParameter Estimation

  16. Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components

    Jun 9, 2026Yan YangDynamical SystemsParameter Estimation

    Independent Researcher.

  17. Nonlinear Bayesian Estimator for Parameter Learning: A Fixed-Point Characterization

    Jun 8, 2026Sasan Vakili, Daniël Woonings, Pradyumna Paruchuri +1Parameter EstimationBayesian Inference

    Delft University of Technology, The Netherlands · University of Toronto, Canada

  18. Error Bounds for a Diffusion Model-Based Drift Estimator

    Jun 1, 2026Ioar Casado-Telletxea, Omar RivasplataParameter EstimationStochastic Differential Equations

    Basque Center for Applied Mathematics (BCAM) · Bilbao, Spain · Centre for AI Fundamentals & Department of Computer Science +1

  19. Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning

    Jun 1, 2026Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3Parameter EstimationDistribution Shift

    Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada · Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA · Cardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom +3

  20. Inferring the Size of Large Language Models From Popular Text Memorization

    May 28, 2026Ivica NikolicParameter EstimationMemorization in Language Models

    National University of Singapore

  21. libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps

    May 28, 2026Gary WolfmanParameter EstimationMarkov Models

    Independent Researcher

  22. Instance-Optimal Estimation with Multiple LLM Judges on a Budget

    May 22, 2026Junghyun Lee, Sanghwa Kim, Yassir Jedra +2Parameter EstimationLLM Evaluation

    KAIST AI · ICL EEE · KTH EECS

  23. Archimedean Copula Inference via Taylor-Mode AD

    May 22, 2026Cambridge Yang, Dongdong LiParameter EstimationAutomatic Differentiation

    Independent · Harvard Medical School

  24. EMMA: Extracting Multiple physical parameters from Multimodal Data

    May 21, 2026Farhat Shaikh, Ayan Banerjee, Sandeep GuptaParameter EstimationLatent Dynamics Modeling

    IMPACT Lab, School of Computing & Augmented Intelligence (SCAI) Arizona State University, Tempe, AZ

  25. Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation

    May 21, 2026Benedikt Lütke Schwienhorst, Nadja Klein, Johannes LedererScore MatchingParameter Estimation

    Department of Mathematics University of Hamburg Hamburg, Germany · Scientific Computing Center Karlsruhe Institute of Technology2026 Karlsruhe, Germany · Department of MathematicsMay University of Hamburg Hamburg, Germany21

  26. Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models

    May 20, 2026Kostas Tsampourakis, Víctor ElviraSimulation-Based InferenceParameter Estimation

    School of Mathematics, University of Edinburgh,, EH9 3FD, U.K.

  27. Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation

    May 19, 2026Serhii ZabolotniiParameter EstimationDensity Estimation

    Department of Information, Multimedia Technologies and Design, Cherkasy State Business College, Cherkasy, 18028, Ukraine · State Scientific Research Institute of Armament and Military Equipment Testing and Certification, Cherkasy, Ukraine · Department of Cybernetics and Applied Mathematics, Uzhhorod National University, Uzhhorod, Ukraine

  28. Mixed neural posterior estimation for simulators with discrete and continuous parameters

    May 13, 2026Jan Boelts, Cornelius Schröder, Jonas Beck +3Simulation-Based InferenceParameter Estimation

    appliedAI Institute for Europe · Machine Learning in Science, University of Tübingen · Tübingen AI Center +3

  29. Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty

    May 12, 2026Haoran Hu, Xingce WangParameter EstimationLatent Variable Models

    School of Artificial Intelligence Beijing Normal University Beijing 100875, China

  30. Tight Generalization Bounds for Noiseless Inverse Optimization

    May 9, 2026Pouria Fatemi, Hoomaan Maskan, Suvrit Sra +1Parameter EstimationLearning to Optimize

    Technical University of Munich, Germany · Uppsala University, Sweden · University of Toronto, Canada