| Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon | Jun 27, 2020 | parameter estimationReinforcement Learning (RL) | —Unverified | 0 |
| LiQuiD-MIMO Radar: Distributed MIMO Radar with Low-Bit Quantization | Feb 16, 2023 | parameter estimationQuantization | —Unverified | 0 |
| Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication | Apr 16, 2024 | parameter estimationSuper-Resolution | —Unverified | 0 |
| Locally Differentially Private Bayesian Inference | Oct 27, 2021 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Local Measurement Based Robust Voltage Stability Index & Identification of Voltage Collapse Onset | Mar 24, 2022 | parameter estimation | —Unverified | 0 |
| Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields | Nov 21, 2022 | NeRFparameter estimation | —Unverified | 0 |
| Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies | Oct 12, 2023 | Gaussian Processesparameter estimation | —Unverified | 0 |
| Logistic Regression for Massive Data with Rare Events | Jun 1, 2020 | parameter estimationregression | —Unverified | 0 |
| Loss minimization and parameter estimation with heavy tails | Jul 7, 2013 | parameter estimationregression | —Unverified | 0 |
| Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System | Mar 27, 2024 | Autonomous Vehiclesparameter estimation | —Unverified | 0 |
| Lower Bounds on the Bayesian Risk via Information Measures | Mar 22, 2023 | parameter estimation | —Unverified | 0 |
| Low-rank SIFT: An Affine Invariant Feature for Place Recognition | Aug 7, 2014 | feature selectionparameter estimation | —Unverified | 0 |
| LSTM Shift-Reduce CCG Parsing | Nov 1, 2016 | Feature Engineeringglobal-optimization | —Unverified | 0 |
| Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform | Nov 11, 2019 | BIG-bench Machine Learningparameter estimation | —Unverified | 0 |
| Machine learning based hyperspectral image analysis: A survey | Feb 23, 2018 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics | Jun 3, 2023 | Experimental Designparameter estimation | —Unverified | 0 |
| Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling | Aug 12, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Machine learning in parameter estimation of nonlinear systems | Aug 23, 2023 | parameter estimationTime Series | —Unverified | 0 |
| Machine-learning non-stationary noise out of gravitational wave detectors | Nov 20, 2019 | BIG-bench Machine Learningparameter estimation | —Unverified | 0 |
| Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning | Sep 19, 2022 | compressed sensingMagnetic Resonance Fingerprinting | —Unverified | 0 |
| Manifold Optimization for Gaussian Mixture Models | Jun 25, 2015 | Density Estimationparameter estimation | —Unverified | 0 |
| Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models | Mar 19, 2013 | parameter estimation | —Unverified | 0 |
| Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems | May 18, 2022 | parameter estimationTime Series | —Unverified | 0 |
| Mathematical and Statistical Techniques for Systems Medicine: The Wnt Signaling Pathway as a Case Study | Jul 30, 2015 | parameter estimation | —Unverified | 0 |
| Matrix Manifold Optimization for Gaussian Mixtures | Dec 1, 2015 | Density Estimationparameter estimation | —Unverified | 0 |