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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 190: Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China

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Editors: Bin Dong, Qianxiao Li, Lei Wang, Zhi-Qin John Xu

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Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver

; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:1-16

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A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation

Didem Kochan, Zheng Zhang, Xiu Yang; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:17-32

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SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks

Ziyu Chen, Yingzhou Li, Xiuyuan Cheng; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:33-48

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Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits

Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:49-64

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Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling

Kookjin Lee, Nathaniel Trask, Panos Stinis; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:65-80

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MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization

Laurent Condat, Peter Richtarik; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:81-96

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Optimal denoising of rotationally invariant rectangular matrices

Emanuele Troiani, Vittorio Erba, FLORENT KRZAKALA, Antoine Maillard, Lenka Zdeborova; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:97-112

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On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes

Sixin Zhang; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:113-128

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Natural Compression for Distributed Deep Learning

Samuel Horvóth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtarik; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:129-141

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Error-in-variables modelling for operator learning

Ravi Patel, Indu Manickam, Myoungkyu Lee, Mamikon Gulian; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:142-157

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Data adaptive RKHS Tikhonov regularization for learning kernels in operators

Fei Lu, Quanjun Lang, Qingci An; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:158-172

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Stochastic and Private Nonconvex Outlier-Robust PCAs

Tyler Maunu, Chenyu Yu, Gilad Lerman; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:173-188

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Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization

Tan Minh Nguyen, Richard Baraniuk, Robert Kirby, Stanley Osher, Bao Wang; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:189-204

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An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model

Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:205-214

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Error Estimates for the Deep Ritz Method with Boundary Penalty

Johannes Müller, Marius Zeinhofer; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:215-230

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Notes on Exact Boundary Values in Residual Minimisation

Johannes Müller, Marius Zeinhofer; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:231-240

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Online Weak-form Sparse Identification of Partial Differential Equations

Daniel A.Messenger, Emiliano Dall’Anese, David Bortz; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:241-256

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Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts

Arthur Jacot, Franck Gabriel, Francois Ged, Clement Hongler; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:257-270

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Hierarchical partition of unity networks: fast multilevel training

Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric Cyr; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:271-286

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Concentration of Random Feature Matrices in High-Dimensions

Zhijun Chen, Hayden Schaeffer, Rachel Ward; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:287-302

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SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Yuege Xie, Robert Shi, Hayden Schaeffer, Rachel Ward; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:303-318

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A Machine Learning Enhanced Algorithm for the Optimal Landing Problem

Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:319-334

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Adaptive sampling methods for learning dynamical systems

Zichen Zhao, Qianxiao Li; Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:335-350

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