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09/03/2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Domain shift is a common problem in clinical applications, where the tra...
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08/11/2023
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos
GAN inversion is indispensable for applying the powerful editability of ...
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08/10/2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction
CNNs and Transformers have their own advantages and both have been widel...
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07/14/2023
First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods
Many recent studies on first-order methods (FOMs) focus on composite non...
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07/14/2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
In this paper, we consider the decentralized, stochastic nonconvex stron...
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04/05/2023
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems
Minimax problems have recently attracted a lot of research interests. A ...
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01/09/2023
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Convolution neural networks (CNNs) and Transformers have their own advan...
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12/19/2022
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization
Many real-world problems not only have complicated nonconvex functional ...
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12/01/2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
Domain generalization (DG) aims to train a model to perform well in unse...
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08/05/2022
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
In this paper, we present our solutions for the Multimodal Sentiment Ana...
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03/30/2022
High-resolution Face Swapping via Latent Semantics Disentanglement
We present a novel high-resolution face swapping method using the inhere...
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01/04/2022
Inexact accelerated proximal gradient method with line search and reduced complexity for affine-constrained and bilinear saddle-point structured convex problems
The goal of this paper is to reduce the total complexity of gradient-bas...
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07/29/2021
From Continuity to Editability: Inverting GANs with Consecutive Images
Existing GAN inversion methods are stuck in a paradox that the inverted ...
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07/24/2021
Distributed stochastic inertial methods with delayed derivatives
Stochastic gradient methods (SGMs) are predominant approaches for solvin...
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02/05/2021
Deep Texture-Aware Features for Camouflaged Object Detection
Camouflaged object detection is a challenging task that aims to identify...
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10/05/2020
First-order methods for problems with O(1) functional constraints can have almost the same convergence rate as for unconstrained problems
First-order methods (FOMs) have recently been applied and analyzed for s...
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05/31/2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
Stochastic gradient methods (SGMs) have been extensively used for solvin...
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03/19/2020
Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity
First-order methods (FOMs) have been widely used for large-scale problem...
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02/21/2020
Asynchronous parallel adaptive stochastic gradient methods
Stochastic gradient methods (SGMs) are the predominant approaches to tra...
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10/24/2019
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
Structured problems arise in many applications. To solve these problems,...
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08/30/2019
Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints
Non-convex optimization problems arise from various areas in science and...
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11/22/2018
Markov Chain Block Coordinate Descent
The method of block coordinate gradient descent (BCD) has been a powerfu...
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09/07/2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Risk management in dynamic decision problems is a primary concern in man...
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01/08/2018
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition
In this paper, we proposed a effective but extensible residual one-dimen...
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11/21/2017
First-order methods for constrained convex programming based on linearized augmented Lagrangian function
First-order methods have been popularly used for solving large-scale pro...
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11/15/2017
Global convergence rates of augmented Lagrangian methods for constrained convex programming
Augmented Lagrangian method (ALM) has been popularly used for solving co...
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05/18/2017
Asynchronous parallel primal-dual block update methods
Recent several years have witnessed the surge of asynchronous (async-) p...
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02/17/2017
Accelerated Primal-Dual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization
Block Coordinate Update (BCU) methods enjoy low per-update computational...
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09/30/2016
A Primer on Coordinate Descent Algorithms
This monograph presents a class of algorithms called coordinate descent ...
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08/13/2016
Hybrid Jacobian and Gauss-Seidel proximal block coordinate update methods for linearly constrained convex programming
Recent years have witnessed the rapid development of block coordinate up...
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06/29/2016
Accelerated first-order primal-dual proximal methods for linearly constrained composite convex programming
Motivated by big data applications, first-order methods have been extrem...
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05/19/2016
Randomized Primal-Dual Proximal Block Coordinate Updates
In this paper we propose a randomized primal-dual proximal block coordin...
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01/05/2016
Coordinate Friendly Structures, Algorithms and Applications
This paper focuses on coordinate update methods, which are useful for so...
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11/30/2015
Proximal gradient method for huberized support vector machine
The Support Vector Machine (SVM) has been used in a wide variety of clas...
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11/30/2015
Alternating direction method of multipliers for regularized multiclass support vector machines
The support vector machine (SVM) was originally designed for binary clas...
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06/08/2015
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Finding a fixed point to a nonexpansive operator, i.e., x^*=Tx^*, abstra...
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08/16/2014
