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Papers matching “estimation error bounds” 84

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Model-Independent Error Bound Estimation for Conformance Checking Approximation
2024 Lecture notes in business information processing conference-paper Business, Management and Accounting Business Process Modeling and Analysis Open access

Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

3

citations
Classification Error Bound for Low Bayes Error Conditions in Machine Learning
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis Open access

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

1

citations
Classification Error Bound for Low Bayes Error Conditions in Machine Learning
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

0

citations
Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error
2024 IEEE Information Theory Workshop (ITW) conference-paper Computer Science Machine Learning and Data Classification

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

1

citations
Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error
2024 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

0

citations
Covariance estimation under one-bit quantization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

0

citations
Covariance Estimation under One‐bit Quantization
2021 PAMM article Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

4

citations
Covariance estimation under one-bit quantization
2022 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

26

citations
Generalization error bounds for iterative recovery algorithms unfolded as neural networks
2023 Information and Inference A Journal of the IMA article Engineering Sparse and Compressive Sensing Techniques Open access

Ekkehard Schnoor, Arash Behboodi, Holger Rauhut

6

citations
Guaranteed a posteriori bounds for eigenvalues and eigenvectors: Multiplicities and clusters
2020 Mathematics of Computation article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Éric Cancès, Geneviève Dusson, Yvon Maday, Benjamin Stamm, Martin Vohralı́k

23

citations
BOP2-ENR: a Bayesian optimal phase II design for adaptive enrichment with family-wise error rate control and a bound on joint-claim power
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Kentaro Takeda, Belay Birlie Yimer, Masahiro Kojima

0

citations
A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller-Segel model
2023 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Jan Giesselmann, Niklas Kolbe

1

citations
A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller–Segel model
2024 IMA Journal of Numerical Analysis article Mathematics Mathematical Biology Tumor Growth

Jan Giesselmann, Niklas Kolbe

0

citations
Graphon Hawkes Processes: Sparse Estimation and Network Recovery
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Justin R. Baars, Roger J. A. Laeven, Michel Mandjes

0

citations
Low-rank tensor methods for high-dimensional parameter-dependent PDEs: eigenvalue estimation, approximate inverses, and multigrid methods
2026 RWTH Publications (RWTH Aachen) dissertation Mathematics Tensor decomposition and applications Open access

Tim A. Werthmann

0

citations
Optimizing and Comparing Quantum Resources of Statistical Phase Estimation and Krylov Subspace Diagonalization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Oumarou Oumarou, Pauline J. Ollitrault, Stefano Polla, Christian Gogolin

0

citations
Bad Estimation, Good Prediction: The Lasso in Dense Regimes
2025 The American Statistician article Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

1

citations
Bad estimation, good prediction: the Lasso in dense regimes
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

0

citations
Anytime Proximity Moving Horizon Estimation: Stability and Regret for Nonlinear Systems
2021 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Engineering Advanced Control Systems Optimization

Meriem Gharbi, Bahman Gharesifard, Christian Ebenbauer

4

citations
Anytime Proximity Moving Horizon Estimation: Stability and Regret
2020 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Meriem Gharbi, Bahman Gharesifard, Christian Ebenbauer

4

citations
Anytime Proximity Moving Horizon Estimation: Stability and Regret
2022 IEEE Transactions on Automatic Control article Engineering Advanced Control Systems Optimization Open access

Meriem Gharbi, Bahman Gharesifard, Christian Ebenbauer

15

citations
A Posteriori Error Control for Nonconvex Problems via Calibration
2026 SIAM Journal on Numerical Analysis article Engineering Advanced Numerical Methods in Computational Mathematics

Benjamin Berkels, Alexander Effland, Martin Rumpf, Jan Verhülsdonk

0

citations
A Residual Based A Posteriori Error Estimators for AFC Schemes for Convection-Diffusion Equations
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Abhinav Jha

8

citations
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
2026 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Yanjun Ji, Dennis Willsch, Orkun Şensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, +5 more

0

citations
Maximum Likelihood Estimation in the Additive Hazards Model
2022 Biometrics article Mathematics Statistical Methods and Inference Open access

Chengyuan Lu, Jelle J. Goeman, Hein Putter

16

citations