Fanghui Liu | DeepAI

AI Chat

Featured Co-authors

Dacheng Tao
495 publications
Li Li
178 publications
Jie Yang
158 publications
Volkan Cevher
102 publications
Lei Shi
71 publications
Tao Zhou
70 publications
Xiaolin Huang
66 publications
Chen gong
62 publications
Johan A. K. Suykens
61 publications
Yudong Chen
58 publications
Francesco Locatello
53 publications

∙ 06/08/2023

Federated Learning under Covariate Shifts with Generalization Guarantees

This paper addresses intra-client and inter-client covariate shifts in f...

0 Ali Ramezani-Kebrya, et al. ∙

∙ 05/30/2023

Benign Overfitting in Deep Neural Networks under Lazy Training

This paper focuses on over-parameterized deep neural networks (DNNs) wit...

0 Zhenyu Zhu, et al. ∙

∙ 04/25/2023

Provable benefits of general coverage conditions in efficient online RL with function approximation

In online reinforcement learning (RL), instead of employing standard str...

0 Fanghui Liu, et al. ∙

∙ 09/18/2022

Random Fourier Features for Asymmetric Kernels

The random Fourier features (RFFs) method is a powerful and popular tech...

0 Mingzhen He, et al. ∙

∙ 09/16/2022

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Neural tangent kernel (NTK) is a powerful tool to analyze training dynam...

0 Yongtao Wu, et al. ∙

∙ 09/15/2022

Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration

This paper provides a theoretical study of deep neural function approxim...

0 Fanghui Liu, et al. ∙

∙ 09/15/2022

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

We study the average robustness notion in deep neural networks in (selec...

0 Zhenyu Zhu, et al. ∙

∙ 09/15/2022

Generalization Properties of NAS under Activation and Skip Connection Search

Neural Architecture Search (NAS) has fostered the automatic discovery of...

0 Zhenyu Zhu, et al. ∙

∙ 09/15/2022

Sound and Complete Verification of Polynomial Networks

Polynomial Networks (PNs) have demonstrated promising performance on fac...

0 Elías Abad-Rocamora, et al. ∙

∙ 10/13/2021

On the Double Descent of Random Features Models Trained with SGD

We study generalization properties of random features (RF) regression in...

0 Fanghui Liu, et al. ∙

∙ 11/03/2020

Towards a Unified Quadrature Framework for Large-Scale Kernel Machines

In this paper, we develop a quadrature framework for large-scale kernel ...

0 Fanghui Liu, et al. ∙

∙ 10/06/2020

Kernel regression in high dimension: Refined analysis beyond double descent

In this paper, we provide a precise characterize of generalization prope...

0 Fanghui Liu, et al. ∙

∙ 09/10/2020

End-to-end Kernel Learning via Generative Random Fourier Features

Random Fourier features enable researchers to build feature map to learn...

0 Kun Fang, et al. ∙

∙ 06/01/2020

Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces

In this paper, we study the asymptotical properties of least squares reg...

0 Fanghui Liu, et al. ∙

∙ 05/30/2020

Generalizing Random Fourier Features via Generalized Measures

We generalize random Fourier features, that usually require kernel funct...

0 Fanghui Liu, et al. ∙

∙ 04/23/2020

Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond

Random features is one of the most sought-after research topics in stati...

0 Fanghui Liu, et al. ∙

∙ 11/20/2019

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

In this paper, we propose a fast surrogate leverage weighted sampling st...

16 Fanghui Liu, et al. ∙

∙ 10/07/2019

Deep Kernel Learning via Random Fourier Features

Kernel learning methods are among the most effective learning methods an...

0 Jiaxuan Xie, et al. ∙

∙ 04/15/2019

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

In this paper, we propose a novel matching based tracker by investigatin...

26 Fanghui Liu, et al. ∙

∙ 09/26/2018

Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions

Hyper-kernels endowed by hyper-Reproducing Kernel Hilbert Space (hyper-R...

0 Fanghui Liu, et al. ∙

∙ 08/31/2018

Learning Data-adaptive Nonparametric Kernels

Traditional kernels or their combinations are often not sufficiently fle...

8 Fanghui Liu, et al. ∙

∙ 07/06/2017

Indefinite Kernel Logistic Regression

Traditionally, kernel learning methods requires positive definitiveness ...

0 Fanghui Liu, et al. ∙

∙ 10/05/2015

Visual Tracking via Nonnegative Regularization Multiple Locality Coding

This paper presents a novel object tracking method based on approximated...

0 Fanghui Liu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world