Search Results for author: Qunwei Li

Found 18 papers, 0 papers with code

Denoising Time Cycle Modeling for Recommendation

no code implementations5 Feb 2024 Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong

We define the subset of user behaviors that are irrelevant to the target item as noises, which limits the performance of target-related time cycle modeling and affect the recommendation performance.

Denoising Recommendation Systems

Quickest Change Detection in Anonymous Heterogeneous Sensor Networks

no code implementations26 Feb 2022 Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li

The problem of quickest change detection (QCD) in anonymous heterogeneous sensor networks is studied.

Change Detection

A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization

no code implementations14 Oct 2021 Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou

However, GDA has been proved to converge to stationary points for nonconvex minimax optimization, which are suboptimal compared with local minimax points.

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent

no code implementations29 Sep 2021 Ziyi Chen, Qunwei Li, Yi Zhou

Our result shows that Cubic-GDA achieves an orderwise faster convergence rate than the standard GDA for a wide spectrum of gradient dominant geometry.

Learning Graph Neural Networks with Approximate Gradient Descent

no code implementations7 Dec 2020 Qunwei Li, Shaofeng Zou, Wenliang Zhong

Two types of GNNs are investigated, depending on whether labels are attached to nodes or graphs.

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning

no code implementations NeurIPS 2020 Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer

Using this framework, we show that space-filling sample designs, such as blue noise and Poisson disk sampling, which optimize spectral properties, outperform random designs in terms of the generalization gap and characterize this gain in a closed-form.

BIG-bench Machine Learning

Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers

no code implementations3 Sep 2019 Baocheng Geng, Qunwei Li, Pramod K. Varshney

We consider the $M$-ary classification problem via crowdsourcing, where crowd workers respond to simple binary questions and the answers are aggregated via decision fusion.

General Classification

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis

no code implementations6 Jun 2019 Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer

This paper provides a general framework to study the effect of sampling properties of training data on the generalization error of the learned machine learning (ML) models.


MR-GAN: Manifold Regularized Generative Adversarial Networks

no code implementations22 Nov 2018 Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod Varshney

Despite the growing interest in generative adversarial networks (GANs), training GANs remains a challenging problem, both from a theoretical and a practical standpoint.

K-medoids Clustering of Data Sequences with Composite Distributions

no code implementations31 Jul 2018 Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney

In particular, the error exponent is characterized when either the Kolmogrov-Smirnov distance or the maximum mean discrepancy are used as the distance metric.


Decision Tree Design for Classification in Crowdsourcing Systems

no code implementations1 May 2018 Baocheng Geng, Qunwei Li, Pramod K. Varshney

In this paper, we present a novel sequential paradigm for classification in crowdsourcing systems.

Classification General Classification

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization

no code implementations ICML 2017 Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney

Then, by exploiting the Kurdyka-{\L}ojasiewicz (\KL) property for a broad class of functions, we establish the linear and sub-linear convergence rates of the function value sequence generated by APGnc.

Multi-object Classification via Crowdsourcing with a Reject Option

no code implementations1 Feb 2016 Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney

We present an aggregation approach using a weighted majority voting rule, where each worker's response is assigned an optimized weight to maximize the crowd's classification performance.

Classification General Classification +1

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