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Papers matching “sample statistics” 20

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A Metric Space of Spatial Graphs: Two-Sample Testing, Data Depth, and Application to Cardiac Fibrosis
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anna Calissano, Arstanbek Okenov, Katja Zeppenfeld, Alexander Panfilov

0

citations
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck

1

citations
Efficiently Escaping Saddle Points for Policy Optimization
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

0

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

2

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
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Random Abstract Cell Complexes
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

0

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
Random Projections for Multi-Copy Quantum Algorithms
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Xiaoyu Liu, Jordi Tura, Johannes Knörzer

0

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, Peter V. Coveney

1

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, M. Bieniek, Peter V. Coveney

1

citations
On kernel-based statistical learning in the mean field limit
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Machine Learning and Algorithms Open access

Christian Fiedler, Michaël Herty, Sebastian Trimpe

0

citations
Convergence monitoring of quantum Gibbs samplers
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nikolaos Louloudis, Rubén Ibarrondo, Mikel Sanz, Mario Berta

0

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, M. Bieniek, Peter V. Coveney

0

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
Stochastic Gradient Descent with Momentum: Analysis and Synthesis via Integral Quadratic Constraints
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

0

citations
Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe

0

citations
Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe

0

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations

20 results