Fanghui Liu

Leello Tadesse Dadi

J. Mach. Learn. Res., 2024

Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting character-level adversarial attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Can overfitted deep neural networks in adversarial training generalize? - An approximation viewpoint.

[BibT_eX]

[DOI]

CoRR, 2024

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Character-level Adversarial Attacks for Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust NAS under adversarial training: benchmark, theory, and beyond.

[BibT_eX]

[DOI]

Yongtao Wu

Carl-Johann Simon-Gabriel

Grigorios Chrysos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalization of Scaled Deep ResNets in the Mean-Field Regime.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient local linearity regularization to overcome catastrophic overfitting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

The Role of Over-Parameterization in Machine Learning - the Good, the Bad, the Ugly.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Learning under Covariate Shifts with Generalization Guarantees.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

End-to-end kernel learning via generative random Fourier features.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

On the Convergence of Encoder-only Shallow Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benign Overfitting in Deep Neural Networks under Lazy Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

What can online reinforcement learning with function approximation benefit from general coverage conditions?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards a Unified Quadrature Framework for Large-Scale Kernel Machines.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Random Fourier Features for Asymmetric Kernels.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Properties of NAS under Activation and Skip Connection Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sound and Complete Verification of Polynomial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Double Descent of Random Features Models Trained with SGD.

[BibT_eX]

[DOI]

Johan A. K. Suykens

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Analysis of regularized least-squares in reproducing kernel Kreĭn spaces.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Generalization Properties of hyper-RKHS and its Applications.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Kernel regression in high dimensions: Refined analysis beyond double descent.

[BibT_eX]

[DOI]

Zhenyu Liao

Johan A. K. Suykens

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Data-adaptive Non-parametric Kernels.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Kernel regression in high dimension: Refined analysis beyond double descent.

[BibT_eX]

[DOI]

Zhenyu Liao

Johan A. K. Suykens

CoRR, 2020

Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces.

[BibT_eX]

[DOI]

CoRR, 2020

Generalizing Random Fourier Features via Generalized Measures.

[BibT_eX]

[DOI]

CoRR, 2020

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Kernel Learning via Random Fourier Features.

[BibT_eX]

[DOI]

CoRR, 2019

Sparse Indefinite Kernel Learning on Sphere.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2019

Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Inverse Nonnegative Local Coordinate Factorization for Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Densely Connected Discriminative Correlation Filters for Visual Tracking.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Online discriminative dictionary learning for robust object tracking.

[BibT_eX]

[DOI]

Neurocomputing, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Learning Data-adaptive Nonparametric Kernels.

[BibT_eX]

[DOI]

CoRR, 2018

Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Nonlinear Pairwise Layer and Its Training for Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Visual Tracking via Nonnegative Multiple Coding.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Kernelized temporal locality learning for real-time visual tracking.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Online learning and joint optimization of combined spatial-temporal models for robust visual tracking.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Indefinite Kernel Logistic Regression.

[BibT_eX]

[DOI]

Xiaolin Huang

Jie Yang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Correlation Filters with Adaptive Memories and Fusion for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Kernel Approximation for Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Visual tracking via structural patch-based dictionary pair learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Co-saliency detection via inter and intra saliency propagation.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2016

Robust visual tracking via constrained correlation filter coding.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Geometric affine transformation estimation via correlation filter for visual tracking.

[BibT_eX]

[DOI]