Zaiyi Chen

Orcid: 0009-0005-7025-3964

According to our database1, Zaiyi Chen authored at least 19 papers between 2015 and 2024.

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Bibliography

2024
Boosting Gradient Ascent for Continuous DR-submodular Maximization.
CoRR, 2024

2023
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests.
Proceedings of the International Conference on Machine Learning, 2023

An Online Algorithm for Chance Constrained Resource Allocation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback.
CoRR, 2022

Continuous Submodular Maximization: Boosting via Non-oblivious Function.
CoRR, 2022

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function.
Proceedings of the International Conference on Machine Learning, 2022

2021
Online Allocation with Two-sided Resource Constraints.
CoRR, 2021

2020
Adam revisited: a weighted past gradients perspective.
Frontiers Comput. Sci., 2020

2019
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation.
CoRR, 2019

Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number.
Proceedings of the 36th International Conference on Machine Learning, 2019

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.
Proceedings of the 7th International Conference on Learning Representations, 2019

Symmetric Cross Entropy for Robust Learning With Noisy Labels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm.
CoRR, 2018

Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate.
Proceedings of the 35th International Conference on Machine Learning, 2018

SADAGRAD: Strongly Adaptive Stochastic Gradient Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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