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parameter estimation

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TitleStatusHype
Stability and Risk Bounds of Iterative Hard Thresholding—0
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental DesignCode0
Online Dynamic Parameter Estimation of an Alkaline Electrolysis System Based on Bayesian Inference—0
Representing Mixtures of Word Embeddings with Mixtures of Topic EmbeddingsCode0
Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural networkCode0
Parameter estimation and model reduction for retinal laser treatment—0
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae—0
Support Recovery in Mixture Models with Sparse Parameters—0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning—0
Dynamic Survival Analysis for non-Markovian Epidemic ModelsCode0
DFT-Spread Orthogonal Time Frequency Space System with Superimposed Pilots for Terahertz Integrated Sensing and Communication—0
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation—0
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions—0
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics—0
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture ModelsCode0
An alternative approach to train neural networks using monotone variational inequalityCode0
Model-Based Neural Network and Its Application to Line Spectral Estimation—0
Tensor Moments of Gaussian Mixture Models: Theory and ApplicationsCode0
Application and reduction of a nonlinear hyperelastic wall model capturing ex vivo relationships between fluid pressure, area and wall thickness in normal and hypertensive murine left pulmonary arteries—0
Improving Computational Complexity in Statistical Models with Second-Order Information—0
Functional Mixtures-of-Experts—0
Fenrir: Physics-Enhanced Regression for Initial Value ProblemsCode0
Communication Efficient Federated Learning for Generalized Linear Bandits—0
Black-box Bayesian inference for economic agent-based models—0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Approximate Bayesian Computation Based on Maxima Weighted Isolation Kernel Mapping—0
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis—0
Covert Communications through Imperfect Cancellation—0
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems—0
Analytic Mutual Information in Bayesian Neural Networks—0
Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling—0
Debiased Graph Neural Networks with Agnostic Label Selection Bias—0
Encoding large information structures in linear algebra and statistical modelsCode0
Common Phone: A Multilingual Dataset for Robust Acoustic ModellingCode0
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs—0
Boosted-SpringDTW for Comprehensive Feature Extraction of Physiological Signals—0
Robust classification with flexible discriminant analysis in heterogeneous dataCode0
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingCode0
Globally convergent visual-feature range estimation with biased inertial measurements—0
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion—0
Robust factored principal component analysis for matrix-valued outlier accommodation and detection—0
Adaptive calibration of Heston Model using PCRLB based switching Filter—0
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Bayes in Wonderland! Predictive supervised classification inference hits unpredictabilityCode0
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features—0
Learning to Select Exogenous Events for Marked Temporal Point Process—0
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