Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Ruan, Feng"'
Autor:
Liu, Keli, Ruan, Feng
A simple and intuitive method for feature selection consists of choosing the feature subset that maximizes a nonparametric measure of dependence between the response and the features. A popular proposal from the literature uses the Hilbert-Schmidt In
Externí odkaz:
http://arxiv.org/abs/2406.06903
Autor:
Ruan, Feng
In nonsmooth, nonconvex stochastic optimization, understanding the uniform convergence of subdifferential mappings is crucial for analyzing stationary points of sample average approximations of risk as they approach the population risk. Yet, characte
Externí odkaz:
http://arxiv.org/abs/2405.10289
We present a nonparametric construction for deep learning compatible modern Hopfield models and utilize this framework to debut an efficient variant. Our key contribution stems from interpreting the memory storage and retrieval processes in modern Ho
Externí odkaz:
http://arxiv.org/abs/2404.03900
Since ChatGPT was introduced in November 2022, embedding (nearly) unnoticeable statistical signals into text generated by large language models (LLMs), also known as watermarking, has been used as a principled approach to provable detection of LLM-ge
Externí odkaz:
http://arxiv.org/abs/2404.01245
We consider kernels of the form $(x,x') \mapsto \phi(\|x-x'\|^2_\Sigma)$ parametrized by $\Sigma$. For such kernels, we study a variant of the kernel ridge regression problem which simultaneously optimizes the prediction function and the parameter $\
Externí odkaz:
http://arxiv.org/abs/2310.11736
Maximum margin binary classification is one of the most fundamental algorithms in machine learning, yet the role of featurization maps and the high-dimensional asymptotics of the misclassification error for non-Gaussian features are still poorly unde
Externí odkaz:
http://arxiv.org/abs/2310.00176
Autor:
Yang, Xuelin, Abraham, Louis, Kim, Sejin, Smirnov, Petr, Ruan, Feng, Haibe-Kains, Benjamin, Tibshirani, Robert
The Cox proportional hazards model is a canonical method in survival analysis for prediction of the life expectancy of a patient given clinical or genetic covariates -- it is a linear model in its original form. In recent years, several methods have
Externí odkaz:
http://arxiv.org/abs/2208.09793
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-14 (2024)
Abstract Background Social media benign envy, an upward comparison-based and painful emotions associated with the motivation to improve oneself, has attracted increasing attention from researchers due to its ubiquitous and significant impact on socia
Externí odkaz:
https://doaj.org/article/2ce4a761cae646a1beb512a58fcbcd01
Autor:
Li, Rong, Xu, Jiefeng, Li, Yin, Yi, Panpan, Sun, Chenwei, Yang, Qiankun, Wang, Qianqian, Mao, Yi, Mei, Zhihan, Zhou, Guangju, Ruan, Feng, Shi, Suqing, Zhang, Mao, Gong, Yong-Kuan
Publikováno v:
In Acta Biomaterialia 15 September 2024 186:185-200
We describe an implicit sparsity-inducing mechanism based on minimization over a family of kernels: \begin{equation*} \min_{\beta, f}~\widehat{\mathbb{E}}[L(Y, f(\beta^{1/q} \odot X)] + \lambda_n \|f\|_{\mathcal{H}_q}^2~~\text{subject to}~~\beta \ge
Externí odkaz:
http://arxiv.org/abs/2110.05852