Search results for "M-estimators"

Hits ?▲	Authors	Title	Venue	Year	Link
11	Jing Zhou, Jun Shang, Tongwen Chen	Optimal deception attacks on remote state estimators equipped with interval anomaly detectors.	Autom.	2023	DBLP DOI BibTeX RDF
11	Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras	Value function estimators for Feynman-Kac forward-backward SDEs in stochastic optimal control.	Autom.	2023	DBLP DOI BibTeX RDF
11	Mahmoud Aldeni, John Wagaman, Mohamed Amezziane, S. Ejaz Ahmed	Pretest and shrinkage estimators for log-normal means.	Comput. Stat.	2023	DBLP DOI BibTeX RDF
11	Gianfranco Piras, Mauricio Sarrias	GMM Estimators for Binary Spatial Models in R.	J. Stat. Softw.	2023	DBLP DOI BibTeX RDF
11	Yucong Liu, Shixing Yu, Tong Lin 0002	Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace.	Neurocomputing	2023	DBLP DOI BibTeX RDF
11	Huisheng Zhang, Chunmei Qi, Qingqing Ma, Dongpo Xu	Performance bounds of complex-valued nonlinear estimators in learning systems.	Neurocomputing	2023	DBLP DOI BibTeX RDF
11	Jaime González-González, Francisco de Arriba Pérez, Silvia García-Méndez, Andrea Busto-Castiñeira, Francisco J. González-Castaño	Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators.	J. King Saud Univ. Comput. Inf. Sci.	2023	DBLP DOI BibTeX RDF
11	Hongxia Miao, Feng Zhang 0011	Chirp cyclic moment for chirp cyclostationary processes: Definitions and estimators.	Digit. Signal Process.	2023	DBLP DOI BibTeX RDF
11	Zhaobo Liu, Chanying Li	Asymptotic behavior of least squares estimators for nonlinear autoregressive models.	Sci. China Inf. Sci.	2023	DBLP DOI BibTeX RDF
11	Michele Benzi, Michele Rinelli, Igor Simunec	Computation of the von Neumann entropy of large matrices via trace estimators and rational Krylov methods.	Numerische Mathematik	2023	DBLP DOI BibTeX RDF
11	Atin Gayen, M. Ashok Kumar	Generalized Fisher-Darmois-Koopman-Pitman Theorem and Rao-Blackwell Type Estimators for Power-Law Distributions.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
11	Thobeka Nombebe, James S. Allison, Leonard Santana, Jaco Visagie	On Fitting the Lomax Distribution: A Comparison between Minimum Distance Estimators and Other Estimation Techniques.	Comput.	2023	DBLP DOI BibTeX RDF
11	Tamara Schamberger	Conducting Monte Carlo simulations with PLS-PM and other variance-based estimators for structural equation models: a tutorial using the R package cSEM.	Ind. Manag. Data Syst.	2023	DBLP DOI BibTeX RDF
11	Zuhair A. Al-Hemyari, Ashkan Khalifeh	On shrunken estimators for the ratio of scale parameters in the exponential two-sample problem.	Int. J. Math. Model. Numer. Optimisation	2023	DBLP DOI BibTeX RDF
11	Vicram Rajagopalan, Vishnu Teja Kunde, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan 0001, Srinivas Shakkottai, Dileep Kalathil, Jean-François Chamberland	Transformers are Efficient In-Context Estimators for Wireless Communication.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yihan Zhang 0001, Hong Chang Ji, Ramji Venkataramanan, Marco Mondelli	Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing.	CoRR	2023	DBLP DOI BibTeX RDF
11	Noam Levi, Alon Beck, Yohai Bar-Sinai	Grokking in Linear Estimators - A Solvable Model that Groks without Understanding.	CoRR	2023	DBLP DOI BibTeX RDF
11	Ryuichi Ito, Yuya Sasaki 0001, Chuan Xiao 0001, Makoto Onizuka	Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Kazusato Oko, Shunta Akiyama, Taiji Suzuki	Diffusion Models are Minimax Optimal Distribution Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Andrew G. Lamperski	Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Jingnan Shi, Rajat Talak, Dominic Maggio, Luca Carlone	A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training.	CoRR	2023	DBLP DOI BibTeX RDF
11	Gabriel S. Gusmão, Andrew J. Medford	Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems.	CoRR	2023	DBLP DOI BibTeX RDF
11	Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester	Synthetic Data: Can We Trust Statistical Estimators?	CoRR	2023	DBLP DOI BibTeX RDF
11	Rainie Bozzai, Thomas Rothvoss	Stronger Coreset Bounds for Kernel Density Estimators via Chaining.	CoRR	2023	DBLP DOI BibTeX RDF
11	Hang Zhang, Ping Li 0001	Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Chao Zheng, Jiangtao Pan	Unbiased estimators for the Heston model with stochastic interest rates.	CoRR	2023	DBLP DOI BibTeX RDF
11	Lennart Brocki, Neo Christopher Chung	Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Tom Blau, Edwin Bonilla, Iadine Chades, Amir Dezfouli	Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
11	Pawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx	Beyond Normal: On the Evaluation of Mutual Information Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Guangyu Wu, Anders Lindquist	Quantitative Error Analyses of Spectral Density Estimators Using Covariance Lags.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie	Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Khai Nguyen, Nhat Ho	Control Variate Sliced Wasserstein Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Gözde Özcan, Stratis Ioannidis	Stochastic Submodular Maximization via Polynomial Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Xianghao Zhan, Jiawei Sun, Yuzhe Liu, Nicholas J. Cecchi, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo	Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation.	CoRR	2023	DBLP DOI BibTeX RDF
11	Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw	Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design.	CoRR	2023	DBLP DOI BibTeX RDF
11	Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin	In-context learning of state estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Lucas Berry, David Meger	Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi	Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families.	CoRR	2023	DBLP DOI BibTeX RDF
11	Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel	Learning Provably Robust Estimators for Inverse Problems via Jittering.	CoRR	2023	DBLP DOI BibTeX RDF
11	Zhun Yang, Joohyung Lee 0002, Chiyoun Park	Injecting Logical Constraints into Neural Networks via Straight-Through Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Xiaobo Xia, Pengqian Lu, Chen Gong 0002, Bo Han 0003, Jun Yu 0002, Jun Yu, Tongliang Liu	Regularly Truncated M-estimators for Learning with Noisy Labels.	CoRR	2023	DBLP DOI BibTeX RDF
11	Haiping Wang 0004, Yuan Liu 0025, Bing Wang, Yujing Sun, Zhen Dong 0005, Wenping Wang, Bisheng Yang	FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Anna Hedström, Philine Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne	The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.	CoRR	2023	DBLP DOI BibTeX RDF
11	Elton Figueiredo de Souza Soares, Carlos Alberto Vieira Campos	Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles.	CoRR	2023	DBLP DOI BibTeX RDF
11	Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach	Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb	Anomaly detection with semi-supervised classification based on risk estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Saptarshi Roy, Amit Mitra, N. K. Archak	On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model.	CoRR	2023	DBLP DOI BibTeX RDF
11	Namid R. Stillman, Rory Baggott, Justin Lyon, Jianfei Zhang, Dingqiu Zhu, Tao Chen, Perukrishnen Vytelingum	Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks.	CoRR	2023	DBLP DOI BibTeX RDF
11	Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz	Private and Collaborative Kaplan-Meier Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor	L1 Estimation: On the Optimality of Linear Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Deepak Raina, Chandrashekhara SH, Richard M. Voyles, Juan P. Wachs, Subir Kumar Saha	Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
11	Matteo Croci, Karen E. Willcox, Stephen J. Wright 0001	Multi-output multilevel best linear unbiased estimators via semidefinite programming.	CoRR	2023	DBLP DOI BibTeX RDF
11	Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur	Sampling-Based Accuracy Testing of Posterior Estimators for General Inference.	CoRR	2023	DBLP DOI BibTeX RDF
11	Albert Ziegler 0001, Pawel Czyz	Bayesian Quantification with Black-Box Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
11	Grigorios A. Pavliotis, Sebastian Reich, Andrea Zanoni	Filtered data based estimators for stochastic processes driven by colored noise.	CoRR	2023	DBLP DOI BibTeX RDF
11	Daniel Sanz-Alonso, Nathan Waniorek	Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators Under Mesh Refinement.	CoRR	2023	DBLP DOI BibTeX RDF
11	Min Ren, Shengli Zhao, Mingqiu Wang	Optimal subsampling for least absolute relative error estimators with massive data.	J. Complex.	2023	DBLP DOI BibTeX RDF
11	Sini Guo, Jia-Wen Gu, Christopher H. Fok, Wai-Ki Ching	Online portfolio selection with state-dependent price estimators and transaction costs.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
11	Joshua Cave, Kausik Chaudhuri, Subal C. Kumbhakar	Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
11	Rakheon Kim, Mohsen Pourahmadi, Tanya P. Garcia	Positive-definite thresholding estimators of covariance matrices with zeros.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Ryota Yuasa, Tatsuya Kubokawa	Weighted shrinkage estimators of normal mean matrices and dominance properties.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Pankaj Bhagwat, Éric Marchand	Predictive density estimators with integrated L1 loss.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Ioannis Kalogridis, Stefan Van Aelst	Robust penalized estimators for functional linear regression.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Karine Bertin, Christian Genest, Nicolas Klutchnikoff, Frédéric Ouimet	Minimax properties of Dirichlet kernel density estimators.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Elad Romanov, Gil Kur, Boaz Nadler	Tyler's and Maronna's M-estimators: Non-asymptotic concentration results.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
11	Andrew G. Lamperski	Nonasymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators.	IEEE Trans. Signal Process.	2023	DBLP DOI BibTeX RDF
11	Kai Shen, Baochun Li	Learning-Based Network Performance Estimators: The Next Frontier for Network Simulation.	IEEE Netw.	2023	DBLP DOI BibTeX RDF
11	Théophile Chaumont-Frelet	A simple equilibration procedure leading to polynomial-degree-robust a posteriori error estimators for the curl-curl problem.	Math. Comput.	2023	DBLP DOI BibTeX RDF
11	Szymon Jaroszewicz, Krzysztof Rudas	Shrinkage Estimators for the Intercept in Linear and Uplift Regression.	Sci. Ann. Comput. Sci.	2023	DBLP DOI BibTeX RDF
11	Jiayi Zheng, Chenjian Ran	Distributed fusion robust estimators for multisensor networked singular control system with uncertain-variance correlated noises and missing measurement.	Comput. Appl. Math.	2023	DBLP DOI BibTeX RDF
11	Jacek M. Leski	Fuzzy double-ordered c-regression models based on fuzzy S-estimators.	Fuzzy Sets Syst.	2023	DBLP DOI BibTeX RDF
11	Rui Ding, Andrew P. Mullhaupt	Empirical Squared Hellinger Distance Estimator and Generalizations to a Family of α-Divergence Estimators.	Entropy	2023	DBLP DOI BibTeX RDF
11	Ersin Yilmaz, Dursun Aydin, S. Ejaz Ahmed	Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques.	Entropy	2023	DBLP DOI BibTeX RDF
11	Aida Toma	Robust Z-Estimators for Semiparametric Moment Condition Models.	Entropy	2023	DBLP DOI BibTeX RDF
11	Arturo Rendón-Castro, Dante Mújica-Vargas, Antonio Luna-Álvarez, Jean Marie Vianney Kinani	Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators.	Entropy	2023	DBLP DOI BibTeX RDF
11	Jon Lee 0001, Daphne E. Skipper, Emily Speakman, Luze Xu	Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
11	Sam A. Markelon, Mia Filic, Thomas Shrimpton	Compact Frequency Estimators in Adversarial Environments.	IACR Cryptol. ePrint Arch.	2023	DBLP BibTeX RDF
11	Marco Ghidelli, Cristina Nuzzi, Francesco Crenna, Matteo Lancini	Validation of Estimators for Weight-Bearing and Shoulder Joint Loads Using Instrumented Crutches.	Sensors	2023	DBLP DOI BibTeX RDF
11	Stefano Savian, Mehdi Elahi, Andrea Janes, Tammam Tillo	Benchmarking equivariance for Deep Learning based optical flow estimators.	Signal Process. Image Commun.	2023	DBLP DOI BibTeX RDF
11	Meysam Hashemi, Anirudh Nihalani Vattikonda, Jayant Jha, Viktor Sip, Michael Marmaduke Woodman, Fabrice Bartolomei, Viktor K. Jirsa	Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators.	Neural Networks	2023	DBLP DOI BibTeX RDF
11	Shashi Bhushan, Anoop Kumar	New efficient class of estimators of population mean using two-phase sampling.	Int. J. Math. Oper. Res.	2023	DBLP DOI BibTeX RDF
11	Yaozhong Hu, Neha Sharma	Ergodic estimators of double exponential Ornstein-Uhlenbeck processes.	J. Comput. Appl. Math.	2023	DBLP DOI BibTeX RDF
11	Anshul Gupta, Pravin Shrinath	A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators.	Int. J. Data Sci. Anal.	2023	DBLP DOI BibTeX RDF
11	Q. T. Zhang	Multiple Delay-Moments Based Estimators for True Coherence Bandwidth.	IEEE Commun. Lett.	2023	DBLP DOI BibTeX RDF
11	Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jesper Bünsow Boldt	An Analysis of Traditional Noise Power Spectral Density Estimators Based on the Gaussian Stochastic Volatility Model.	IEEE ACM Trans. Audio Speech Lang. Process.	2023	DBLP DOI BibTeX RDF
11	Sam A. Markelon, Mia Filic, Thomas Shrimpton	Compact Frequency Estimators in Adversarial Environments.	CCS	2023	DBLP DOI BibTeX RDF
11	Mohamed Abdelhady, Thomas C. Bulea, Wael Abouelwafa, Dan Simon	Prediction Accuracy and Model Robustness of Neural Network-Based Ground Reaction Force Estimators.	AIM	2023	DBLP DOI BibTeX RDF
11	Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer	A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators.	ITCS	2023	DBLP DOI BibTeX RDF
11	Álvaro Augusto Machado de Medeiros, Victor Cionca	Comparison and Analysis of Ricean $K$-Factor Estimators in Industrial Wireless Channels.	WFCS	2023	DBLP DOI BibTeX RDF
11	Parisa Ghane, Ulisses Braga-Neto	Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators.	MLSP	2023	DBLP DOI BibTeX RDF
11	Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang 0012, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou 0011	Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.	WWW	2023	DBLP DOI BibTeX RDF
11	Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan	Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis.	DEXA (1)	2023	DBLP DOI BibTeX RDF
11	Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach	Causal effect estimation from observational and interventional data through matrix weighted linear estimators.	UAI	2023	DBLP BibTeX RDF
11	Roberto Pereira, Xavier Mestre, David Gregoratti	Consistent Estimators of a New Class of Covariance Matrix Distances in the Large Dimensional Regime.	ICASSP	2023	DBLP DOI BibTeX RDF
11	Leighton Pate Barnes, Alex Dytso, H. Vincent Poor	L1 Estimation in Gaussian Noise: On the Optimality of Linear Estimators.	ISIT	2023	DBLP DOI BibTeX RDF
11	Sofia Romagnoli, Cristina Pérez, Laura Burattini, Esther Pueyo, Micaela Morettini, Agnese Sbrollini, Juan Pablo Martínez 0001, Pablo Laguna	Model-based Estimators of QT Series Time Delay in Following Heart-Rate Changes.	EMBC	2023	DBLP DOI BibTeX RDF
11	Meng Zhang, Tianshi Chen 0001, Biqiang Mu	A Family of Hyper-parameter Estimators for Regularized Linear System Identification.	CDC	2023	DBLP DOI BibTeX RDF
11	Jingnan Shi, Rajat Talak, Dominic Maggio, Luca Carlone	A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training.	Robotics: Science and Systems	2023	DBLP DOI BibTeX RDF
11	Morteza Mohammadzaheri, Sami AlSulti, Mojtaba Ghodsi, Payam Soltani	Comparison of Charge Estimators for Piezoelectric Actuators.	ICAC	2023	DBLP DOI BibTeX RDF
11	Pierre L'Ecuyer, Marvin K. Nakayama, Art B. Owen, Bruno Tuffin	Confidence Intervals for Randomized Quasi-Monte Carlo Estimators.	WSC	2023	DBLP DOI BibTeX RDF