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Papers matching “sampling variance” 18

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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
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
MULTILEVEL ENSEMBLE KALMAN FILTERING FOR SPATIO-TEMPORAL PROCESSES
2020 Research Explorer (The University of Manchester) article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Kody J. H. Law, Håkon Hoel, Raul F. Tempone, Fabio Nobile, Alexey Chernov

25

citations
Multilevel ensemble Kalman filtering for spatio-temporal processes
2020 Numerische Mathematik article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Alexey Chernov, Håkon Hoel, Kody J. H. Law, Fabio Nobile, Raul F. Tempone

2

citations
Upside Down Reinforcement Learning with Policy Generators
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Dylan R. Ashley, Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

0

citations
Increasing the resolution of solar and wind time series for energy system modeling: A review
2023 Renewable and Sustainable Energy Reviews article Computer Science Solar Radiation and Photovoltaics Open access

Olalekan Omoyele, Maximilian Hoffmann, Matti Koivisto, Miguel Larrañeta, Jann Michael Weinand, Jochen Linßen, +1 more

61

citations
Multi-iteration Stochastic Optimizers
2026 Applied Mathematics & Optimization article Computer Science Stochastic Gradient Optimization Techniques Open access

André Gustavo Carlon, Luis Espath, Rafael Holdorf Lopez, Raul F. Tempone

3

citations
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
2026 ACM Transactions on Information Systems article Computer Science Topic Modeling

Zhengliang Shi, Lingyong Yan, Weiwei Sun, Yue Feng, Pengjie Ren, Xinyu Ma, +4 more

2

citations
Optimal strategies for shadow tomography with limited resources
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Zhen-Peng Xu, Qi Ye, Jie Wang, Gereon Koßmann, Andreas Winter, René Schwonnek

0

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

citations
A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
2025 Medical Image Analysis article Computer Science AI in cancer detection Open access

Patrick Fuhlert, Fabian Westhaeusser, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +19 more

3

citations
Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer
2021 Histopathology article Computer Science AI in cancer detection Open access

Liesbeth M. Hondelink, Melek Hüyük, Pieter E. Postmus, Vincent T.H.B.M. Smit, Sami Blom, Jan H. von der Thüsen, +1 more

49

citations
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
2024 Symmetry article Computer Science Gaussian Processes and Bayesian Inference Open access

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

11

citations
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Kevin Shen, Susanne Pielawa, Vedran Dunjko, Hao Wang

0

citations
Digitale Histopathologie
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science AI in cancer detection Open access

Daniel Bug

0

citations
Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrei Baroian, Rutger Berger

0

citations
How to find expressible and trainable parameterized quantum circuits?
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Peter Röseler, Dennis Willsch, Kristel F. L. Michielsen

0

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

18 results