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Papers matching “performance bounds” 66

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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
Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Di-nucleons do not form bound states at heavy pion mass
2025 arXiv (Cornell University) preprint Physics and Astronomy Quantum Chromodynamics and Particle Interactions Open access

John Bulava, M. A. Clark, Arjun Singh Gambhir, Andrew D. Hanlon, Ben Hörz, Bálint Joó, +13 more

0

citations
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Sebastian Schmitt, Vedran Dunjko, Hao Wang

0

citations
Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust Optimization
2022 arXiv (Cornell University) preprint Decision Sciences Risk and Portfolio Optimization Open access

Simon Thomä, Grit Walther, Maximilian Schiffer

4

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
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
2024 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Wei Li, Shanshan Luo, Zhi Geng

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
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
Global Optimization of Gaussian processes
2020 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromił Najman, +1 more

5

citations
Hackathons as essential tools in an interdisciplinary biological training - report from trainings for Sub-saharan students
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Engineering Biomedical and Engineering Education Open access

Marvin van Aalst, Tobias Pfennig, Faraimunashe Chirove, Marilyn Ronoh, Anna Matuszyńska

1

citations
Stochastic Games with Disjunctions of Multiple Objectives (Technical Report)
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Tobias Winkler, Maximilian Weininger

1

citations
Iterative thresholding low-rank time integration for high-dimensional problems
2026 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
Efficiently Approximating Attention Is Hard
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Lukas Haverbeck, Carmen Amo Alonso, Andrés Felipe Posada-Moreno, Sebastian Trimpe, Marco Pavone

0

citations
Safe Trajectory Sets for Online Operation of Power Systems under Uncertainty
2024 arXiv (Cornell University) preprint Engineering Power System Optimization and Stability Open access

Florian Klein-Helmkamp, Tina Möllemann, Irina Zettl, Steffen Kortmann, Andreas Ulbig

0

citations
Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nathan A. McMahon, Mahum Pervez, Christian Arenz

0

citations
Multi-Strided Access Patterns to Boost Hardware Prefetching
2024 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Kristian F. D. Rietveld, Rob V. van Nieuwpoort

0

citations
Efficient Joint Resource Allocation for Wireless Powered ISAC with Target Localization
2025 arXiv (Cornell University) preprint Engineering Energy Harvesting in Wireless Networks Open access

Boyao Li, Qinwei He, Boao Zhang, Xiaopeng Yuan, Anke Schmeink

0

citations
Efficient Joint Resource Allocation for Wireless Powered ISAC with Target Localization
2025 arXiv (Cornell University) preprint Engineering Energy Harvesting in Wireless Networks Open access

Boyao Li, Qinwei He, Boao Zhang, Xiaopeng Yuan, Anke Schmeink

0

citations
Diffusion Based Unpaired Data Learning for Inverse Problems
2026 arXiv (Cornell University) preprint Computer Science Image and Signal Denoising Methods Open access

Chenglong Bao, Yiming Dang, Chenguang Duan, Yuling Jiao, Defeng Sun

0

citations
An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data
2024 arXiv (Cornell University) preprint Engineering Power Quality and Harmonics Open access

Markus Stroot, Philipp Lutat, Andreas Ulbig

0

citations
On Safety in Safe Bayesian Optimization
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe

3

citations
WL meet VC
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Floris Geerts, Jan Tönshoff, Martin Grohe

0

citations