:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fan, Yingang, Ding, Binjie, Chen, Baiyi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.05483
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mutual Regression Distance
by: Qiao, Dong, et al.
Published: (2025)

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression
by: Chen, Ziyan, et al.
Published: (2026)

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
by: Wang, Haixin, et al.
Published: (2025)

Understanding Forgetting in Continual Learning with Linear Regression
by: Ding, Meng, et al.
Published: (2024)

Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression
by: Zou, Lu, et al.
Published: (2024)

Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
by: Chen, Fan, et al.
Published: (2026)

CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields
by: Liu, Xin-Yang, et al.
Published: (2024)

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting
by: Wu, Hao, et al.
Published: (2025)

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression
by: Ding, Shihong, et al.
Published: (2025)

Nearly Optimal Differentially Private ReLU Regression
by: Ding, Meng, et al.
Published: (2025)

Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable
by: Wang, Zhanfeng, et al.
Published: (2024)

Neural Local Wasserstein Regression
by: Girshfeld, Inga, et al.
Published: (2025)

Post-processing for Fair Regression via Explainable SVD
by: Zuo, Zhiqun, et al.
Published: (2025)

Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression
by: Yu, Zihan, et al.
Published: (2025)

Distributional Off-Policy Evaluation with Deep Quantile Process Regression
by: Kuang, Qi, et al.
Published: (2026)

Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning
by: He, Fan, et al.
Published: (2024)

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
by: Kohl, Georg, et al.
Published: (2023)

Error Reduction from Stacked Regressions
by: Chen, Xin, et al.
Published: (2023)

Stochastic Gradient Descent for Nonparametric Additive Regression
by: Chen, Xin, et al.
Published: (2024)

Differentially Private Sparse Linear Regression with Heavy-tailed Responses
by: Tian, Xizhi, et al.
Published: (2025)

Simulating Three-dimensional Turbulence with Physics-informed Neural Networks
by: Wang, Sifan, et al.
Published: (2025)

Learning Ultrametric Trees for Optimal Transport Regression
by: Chen, Samantha, et al.
Published: (2022)

Rethinking Inductive Bias in Geographically Neural Network Weighted Regression
by: Chen, Zhenyuan
Published: (2025)

PSTNet: Physically-Structured Turbulence Network
by: Kriuk, Boris, et al.
Published: (2026)

Fundamentals of Regression
by: Mendez, Miguel A.
Published: (2025)

Average-DICE: Stationary Distribution Correction by Regression
by: Che, Fengdi, et al.
Published: (2025)

Compact Memory for Continual Logistic Regression
by: Jung, Yohan, et al.
Published: (2025)

Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations
by: Chen, Xingzhuo, et al.
Published: (2026)

Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
by: Buhai, Rares-Darius, et al.
Published: (2024)

Physics-enhanced Neural Operator for Simulating Turbulent Transport
by: Chen, Shengyu, et al.
Published: (2024)

Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025)

Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
by: Xiao, Bin, et al.
Published: (2024)

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias
by: Wu, Hao, et al.
Published: (2025)

Total robustness in Bayesian Nonlinear Regression
by: Chen, Mengqi, et al.
Published: (2025)

Regression for matrix-valued data via Kronecker products factorization
by: Chen, Yin-Jen, et al.
Published: (2024)

Uncertainty Regularized Evidential Regression
by: Ye, Kai, et al.
Published: (2024)

Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
by: Ding, Yanyun, et al.
Published: (2024)

Effective Benchmarks for Optical Turbulence Modeling
by: Jellen, Christopher, et al.
Published: (2024)

FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
by: Dai, Yilong, et al.
Published: (2026)

Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)