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Papers matching “estimation error bounds” 30

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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 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
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
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
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 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
2020 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Meriem Gharbi, Bahman Gharesifard, Christian Ebenbauer

4

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
Sequential Conditional Independence Testing with Machine Learning Models
2026 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Angel Reyero Lobo, Michele Meziu, Sebastian Uriel Arias, P. Grünwald

0

citations
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland, Bart Elger Pieters

1

citations
Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification
2026 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Ansgar Steland

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Double-loop randomized quasi-Monte Carlo estimator for nested integration
2023 RWTH Publications (RWTH Aachen) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects
2020 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland

0

citations
Multilevel randomized quasi Monte Carlo Estimator for nested integration
2024 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Non-Asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks
2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Jonas Nießen

0

citations
Does Compression Imply Generalization? A Minimum Description Length Perspective
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Lincen Yang, Jiayang Shi, Nan Pu, Daniël M. Pelt, Matthijs van Leeuwen, Zhong Li, +1 more

0

citations
Rigorous estimates for the quasi-steady state approximation of the Michaelis-Menten reaction mechanism at low enzyme concentrations
2023 arXiv (Cornell University) preprint Mathematics Differential Equations and Numerical Methods Open access

Justin Eilertsen, Santiago D. Schnell, Sebastian Walcher

0

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
How fast can a parent estimate the value of their children? A quantum algorithm for stochastic games
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marien Raat, Merlin Incerti-Medici, James R. Wootton, Evert van Nieuwenburg, Daniel Bultrini

0

citations
Permutation-based true discovery proportions for functional Magnetic Resonance Imaging cluster analysis
2020 arXiv (Cornell University) preprint Neuroscience Functional Brain Connectivity Studies Open access

Angela Andreella, Jesse Hemerik, Wouter D. Weeda, Livio Finos, Jelle J. Goeman

1

citations