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10/10/2022
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal
Snow removal aims to locate snow areas and recover clean images without ...
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11/05/2018
Kernel Conjugate Gradient Methods with Random Projections
We propose and study kernel conjugate gradient methods (KCGM) with rando...
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03/12/2018
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
We investigate regularized algorithms combining with projection for leas...
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01/22/2018
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms
We study generalization properties of distributed algorithms in the sett...
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01/20/2018
Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces
In this paper, we study regression problems over a separable Hilbert spa...
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10/21/2017
Optimal Rates for Learning with Nyström Stochastic Gradient Methods
In the setting of nonparametric regression, we propose and study a combi...
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07/03/2017
Generalization Properties of Doubly Online Learning Algorithms
Doubly online learning algorithms are scalable kernel methods that perfo...
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05/28/2016
Optimal Rates for Multi-pass Stochastic Gradient Methods
We analyze the learning properties of the stochastic gradient method whe...
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05/26/2016
Generalization Properties and Implicit Regularization for Multiple Passes SGM
We study the generalization properties of stochastic gradient methods fo...
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03/31/2015