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09/16/2023
Efficient Methods for Non-stationary Online Learning
Non-stationary online learning has drawn much attention in recent years....
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09/04/2023
Frequentist Model Averaging for Global Fréchet Regression
To consider model uncertainty in global Fréchet regression and improve d...
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08/19/2023
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize act...
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08/14/2023
Probabilistic contingent planning based on HTN for high-quality plans
Deterministic planning assumes that the planning evolves along a fully p...
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07/17/2023
Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach
In this paper, we propose an online convex optimization method with two ...
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05/13/2023
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems
With the increasing amount of distributed energy resources (DERs) integr...
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03/27/2023
Improving the Transferability of Adversarial Examples via Direction Tuning
In the transfer-based adversarial attacks, adversarial examples are only...
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03/17/2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
With the development of adversarial attacks, adversairal examples have b...
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03/15/2023
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling
Gaussian graphical models typically assume a homogeneous structure acros...
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03/05/2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Non-stationary parametric bandits have attracted much attention recently...
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02/18/2023
Stochastic Approximation Approaches to Group Distributionally Robust Optimization
This paper investigates group distributionally robust optimization (GDRO...
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02/09/2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
Stochastically Extended Adversarial (SEA) model is introduced by Sachs e...
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02/06/2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Dealing with distribution shifts is one of the central challenges for mo...
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09/30/2022
Factorized Fusion Shrinkage for Dynamic Relational Data
Modern data science applications often involve complex relational data w...
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09/29/2022
Structured Optimal Variational Inference for Dynamic Latent Space Models
We consider a latent space model for dynamic networks, where our objecti...
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08/26/2022
Dynamic Regret of Online Markov Decision Processes
We investigate online Markov Decision Processes (MDPs) with adversariall...
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08/18/2022
Matrix Quantile Factor Model
In this paper, we introduce a matrix quantile factor model for matrix se...
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07/05/2022
Adapting to Online Label Shift with Provable Guarantees
The standard supervised learning paradigm works effectively when trainin...
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06/02/2022
FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
In the strong adversarial attacks against deep neural network (DNN), the...
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06/02/2022
Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Deep neural network (DNN) with dropout can be regarded as an ensemble mo...
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05/19/2022
Enhancing the Transferability of Adversarial Examples via a Few Queries
Due to the vulnerability of deep neural networks, the black-box attack h...
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05/05/2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Hierarchical clustering recursively partitions data at an increasingly f...
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02/12/2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
We consider the problem of combining and learning over a set of adversar...
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02/12/2022
Adaptive Bandit Convex Optimization with Heterogeneous Curvature
We consider the problem of adversarial bandit convex optimization, that ...
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01/30/2022
No-Regret Learning in Time-Varying Zero-Sum Games
Learning from repeated play in a fixed two-player zero-sum game is a cla...
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12/29/2021
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
We investigate online convex optimization in non-stationary environments...
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12/14/2021
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation
Environmental microorganisms (EMs) are ubiquitous around us and have an ...
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10/11/2021
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation
The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) i...
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07/16/2021
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers
In recent years, deep learning has made brilliant achievements in image ...
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06/22/2021
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers
Nowadays, analysis of transparent images in the field of computer vision...
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06/04/2021
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
In this paper we study the problem of stochastic multi-armed bandits (MA...
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06/03/2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Perfo
Image classification has achieved unprecedented advance with the the rap...
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03/22/2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
Video super-resolution (VSR) aims at restoring a video in low-resolution...
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03/15/2021
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Modeling cyber risks has been an important but challenging task in the d...
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03/09/2021
Non-stationary Linear Bandits Revisited
In this note, we revisit non-stationary linear bandits, a variant of sto...
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02/07/2021
Non-stationary Online Learning with Memory and Non-stochastic Control
We study the problem of Online Convex Optimization (OCO) with memory, wh...
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10/09/2020
Latent Dirichlet Allocation Model Training with Differential Privacy
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
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08/24/2020
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
Spherical videos, also known as 360 (panorama) videos, can be viewed wit...
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07/25/2020
Video Super Resolution Based on Deep Learning: A comprehensive survey
In recent years, deep learning has made great progress in the fields of ...
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07/22/2020
Storage Fit Learning with Feature Evolvable Streams
Feature evolvable learning has been widely studied in recent years where...
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07/07/2020
Dynamic Regret of Convex and Smooth Functions
We investigate online convex optimization in non-stationary environments...
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06/10/2020
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions
In this paper, we present an improved analysis for dynamic regret of str...
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05/04/2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims a...
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02/16/2020
Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data
Spatial regression models are ubiquitous in many different areas such as...
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02/05/2020
Exploratory Machine Learning with Unknown Unknowns
In conventional supervised learning, a training dataset is given with gr...
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10/21/2019
An Unbiased Risk Estimator for Learning with Augmented Classes
In this paper, we study the problem of learning with augmented classes (...
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07/29/2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization (BCO) is a fundamental framework for modeling...
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03/22/2019
Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression
We consider Hadamard product parametrization as a change-of-variable (ov...
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01/17/2019
Background subtraction on depth videos with convolutional neural networks
Background subtraction is a significant component of computer vision sys...
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12/16/2018
