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Papers matching “biased sampling” 10

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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
Self-Supervised Position Debiasing for Large Language Models
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen

0

citations
Overparameterization and generalization error: weighted trigonometric interpolation
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel Ward

0

citations
Task-aligned spectral inductive biases in parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Felix Frohnert, Adrián Pérez-Salinas, Sebastian Lange, Marcus Schwaebisch, Evert van Nieuwenburg, Vedran Dunjko

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
An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

J. Slim, Saverio Monaco, Florian Rehm, Dirk Krücker, Kerstin Borras

0

citations
What model does MuZero learn?
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland

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
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

10 results