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Papers matching “adaptive estimation” 79

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Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard

2

citations
Robust State of Charge Estimation of Lifepo4 Batteries Based on Sage_Husa Adaptive Kalman Filter and Dynamic Neural Network
2023 SSRN Electronic Journal preprint Engineering Advanced Battery Technologies Research Open access

Meng Wei, Min Ye, Gaoqi Lian, Baozhou Xia, Qiao Wang

3

citations
An adaptive p-coarsening multigrid method for DGSEM based on quasi-a priori Tau-estimation
2026 SSRN Electronic Journal preprint Engineering Computational Fluid Dynamics and Aerodynamics Open access

Shixi Hao, Zhengxian Liu, Ming Zhao, Matthias H. Meinke, Zhihui Zhao, Jianhuan Chen, +1 more

0

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
Distributed function estimation: adaptation using minimal communication
2020 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Botond Szabó, Harry van Zanten

1

citations
Marking strategies for adaptive mesh refinement: An efficiency-focused benchmark study for steady solid and fluid mechanics problems
2026 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Oliver Wege, Kaan Atak, Marek Behr, Norbert Hosters

0

citations
Cognitively Informed Cross-Lingual Curriculum Learning for Adaptive Reading Comprehension
2025 preprint Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Helena Varga

0

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
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

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
Adaptive stratified sampling for non-smooth problems
2021 arXiv (Cornell University) preprint Decision Sciences Probabilistic and Robust Engineering Design Open access

Per Pettersson, Sebastian Krumscheid

1

citations
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Artificial Intelligence in Games Open access

Hui Wang, Mike Preuß, Aske Plaat

3

citations
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Catalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig, Hao Wang

0

citations
Comparator-adaptive Convex Bandits
2020 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo

2

citations
Adaptive sample size determination for the development of clinical prediction models
2020 Research Square preprint Mathematics Statistical Methods in Epidemiology Open access

Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria M. Wanitschek, Ewout Willem Steyerberg, +1 more

1

citations
Accuracy in Parameter Estimation and Simulation Approaches for Sample Size Planning with Multiple Stimuli
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Erin Michelle Buchanan, Mahmoud Medhat Elsherif, Jason Geller, Christopher L. Aberson, Necdet Gurkan, Ettore Ambrosini, +17 more

0

citations
Dynamic Core Allocation for Malleable Jobs with Unknown Speed-up Parameters
2026 arXiv (Cornell University) preprint Business, Management and Accounting Advanced Queuing Theory Analysis Open access

Shreehari Anand Bodas, J.L. Dorsman, M. Mandjes, L. Ravner

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
Unsupervised Discretization by Two-dimensional MDL-based Histogram
2020 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

2

citations
Graph Exploration with Edge Weight Estimates
2025 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Matthias Gehnen, Ralf Klasing, Émile Naquin

0

citations
Multirate Time-Integration Based on Dynamic Ode Partitioning Through Adaptively Refined Meshes for Compressible Fluid Dynamics
2024 SSRN Electronic Journal preprint Engineering Computational Fluid Dynamics and Aerodynamics Open access

Daniel Doehring, Michael Schlottke‐Lakemper, Gregor J. Gassner, Manuel Torrilhon

0

citations
Differentiable design of the PIAA-ZWFS: a flexible wavefront sensor that approaches the fundamental limit
2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

A. K. Taras, Sebastiaan Y. Haffert, L. Desdoigts

0

citations
Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning
2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Nathan K. Long, Barnaby R. M. Norris, Daniel S. Dahl, Christopher H. Betters, Julia J. Bryant, Nick Cvetojević, +7 more

0

citations
Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning
2026 Figshare preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Nathan K. Long, Barnaby R. M. Norris, Daniel S. Dahl, Christopher H. Betters, Julia J. Bryant, Nick Cvetojević, +7 more

0

citations
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Maarten Volkaerts, Marie Cloet, Hans Dierckx, Piet Claus, Giovanni Samaey

0

citations