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Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025

PDF

Combinatorial Causal Bandits without Graph Skeleton

Shi Feng, Nuoya Xiong, Wei Chen

Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024

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Convergence to Equilibrium of No-regret Dynamics in Congestion Games

Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu

Conference on Web and Internet Economics (WINE) | December 2024

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Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024

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Query-Efficient Correlation Clustering with Noisy Oracle

Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

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PDF DOI

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Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024

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Cascading Reinforcement Learning

Yihan Du, R. Srikant, Wei Chen

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

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Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback

Yiliu Wang, Wei Chen, Milan Vojnovic

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

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Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

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Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023

PDF Preprint

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Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

PDF

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation

Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

PDF

Collaborative Pure Exploration in Kernel Bandit

Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang

Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023

PDF

Combinatorial Pure Exploration of Causal Bandits

Nuoya Xiong, Wei Chen

Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023

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Denoising Masked Auto-encoders Helps Robust Classification

QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

International Conference on Learning Representations (ICLR) 2023 | May 2023

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International Conference on Learning Representations (ICLR) 2023 | May 2023

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Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks

Huishuai Zhang, Da Yu, Yiping Lu, Di He

International Conference on Artificial Intelligence and Statistics (AIStats) | April 2023

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Combinatorial Causal Bandits

Shi Feng, Wei Chen

Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023

PDF Preprint

Scalable Adversarial Attack Algorithms on Influence Maximization

Lichao Sun, Xiaobin Rui, Wei Chen

Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023

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Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

NeurIPS 2022 | November 2022

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Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms

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Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022

PDF

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret

Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022

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Stabilize Deep ResNet with A Sharp Scaling Factor τ

Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

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Availability attacks create shortcuts

Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin

2022 Knowledge Discovery and Data Mining | August 2022

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Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama

ICML 2022 | July 2022

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Yihan Du, Wei Chen

Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022

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Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization

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Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351

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Differentially private fine-tuning of language models

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

ICLR 2022 | April 2022

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Gradient Information Matters in Policy Optimization by Back-propagating through Model

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ICLR 2022 | April 2022

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Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

ICLR 2022 | April 2022

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Online Competitive Influence Maximization

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen

Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022

PDF

Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback

Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022

This version fixed some bugs contained in the published version. See footnote in the first page.

PDF

Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global

Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang

Information and Computation | January 2022

PDF

Combinatorial Pure Exploration with Bottleneck Reward Function

Yihan Du, Yuko Kuroki, Wei Chen

Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021

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Learning Causal Semantic Representation for Out-of-Distribution Prediction

Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

NeurIPS 2021 | December 2021

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Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD

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NeurIPS 2021 | December 2021

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NeurIPS 2021 | December 2021

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Recovering Latent Causal Factor for Generalization to Distributional Shifts

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NeurIPS 2021 | December 2021

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The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle

Fang Kong, Yueran Yang, Wei Chen, Shuai Li

Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021

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Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model

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Proceedings of the 10th International Conference on Computational Social Networks (CSoNet’2021) | November 2021

Winner of the sole Best Paper Award

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基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）

Fang Kong, Yueran Yang, Wei Chen, Shuai Li

大数据（Big Data Research） | September 2021, Vol 7(5)

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基于样本的优化（Optimization from Samples）

Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen

大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110

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Contextual Bandit Applications in a Customer Support Bot

Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen

August 2021

Maximizing Social Welfare in a Competitive Diffusion Model

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VLDB 2021 | August 2021

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Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning

Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

2021 International Conference on Machine Learning (ICML) | July 2021

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Poolingformer: Long Document Modeling with Pooling Attention

Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Wei Chen

2021 International Conference on Machine Learning | July 2021

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The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks

Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu

2021 International Conference on Machine Learning | July 2021

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Large Scale Private Learning via Low-rank Reparametrization

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

International Conference on Machine Learning (ICML) | July 2021

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Network Inference and Influence Maximization from Samples

Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

2021 International Conference on Machine Learning (ICML) | July 2021

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Combinatorial Semi-Bandit in the Non-Stationary Environment

Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng

Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021

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Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

Xufang Luo, Qi Meng, Wei Chen, Tie-Yan Liu

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Memory-Efficient Differentiable Transformer Architecture Search

Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Wei Chen

ACL-IJCNLP 2021 | May 2021

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Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Wei Chen

ACL-IJCNLP 2021 | May 2021

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DeBERTa: Decoding-Enhanced BERT with Disentangled Attention

Pengcheng He, Xiaodong Liu, Jianfeng Gao, Wei Chen

2021 International Conference on Learning Representations | May 2021

Under review

PDF Publication Github Project Project

Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning

Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu

ICLR 2021 | May 2021

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Token-wise Curriculum Learning for Neural Machine Translation

Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Wei Chen, Jianfeng Gao, Tuo Zhao

2021 Empirical Methods in Natural Language Processing | March 2021

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Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback

Yihan Du, Yuko Kuroki, Wei Chen

Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021

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How Does Data Augmentation Affect Privacy in Machine Learning?

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

AAAI 2021 | January 2021

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BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Wei Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

2021 International Conference on Machine Learning | December 2020

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Online Influence Maximization under Linear Threshold Model

Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020

Some typos in the original NeurIPS'2020 paper have been fixed.

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GLGE: A New General Language Generation Evaluation Benchmark

Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Wei Chen, Jie Fu, Linjun Shou, Ming Gong (YIMING), Pengcheng Wang, Jiusheng Chen, Daxin Jiang (姜大昕), Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

ACL-IJCNLP 2021 | November 2020

Publication Download

Target Transfer Q-learning and Its Convergence Analysis

Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing | June 2020

Thompson Sampling for Combinatorial Semi-Bandits

Siwei Wang, Wei Chen

Proceedings of the 35th International Conference on Machine Learning (ICML’2018) | July 2018

PDF

Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting

Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

Advances in Neural Information Processing Systems | December 2017

Publication

Combinatorial Pure Exploration of Multi-Armed Bandits

Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS’2014) | December 2014

The PDF download link contains some bug fixes to the original paper.

PDF

Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate

Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan

Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011

PDF Preprint

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu

Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025

PDF

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024

PDF

Convergence to Equilibrium of No-regret Dynamics in Congestion Games

Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu

Conference on Web and Internet Economics (WINE) | December 2024

PDF Publication

Combinatorial Causal Bandits without Graph Skeleton

Shi Feng, Nuoya Xiong, Wei Chen

Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024

PDF

Query-Efficient Correlation Clustering with Noisy Oracle

Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

NeurIPS 2024 | December 2024

PDF DOI

Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach

Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao

Journal of Informetrics | August 2024, Vol 18(3)

Publication

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024

PDF

Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback

Yiliu Wang, Wei Chen, Milan Vojnovic

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

PDF

Cascading Reinforcement Learning

Yihan Du, R. Srikant, Wei Chen

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

PDF

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Scalable Fair Influence Maximization

Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen

Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023

PDF Preprint

Mitigating Filter Bubbles Under a Competitive Diffusion Model

Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

PDF

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation

Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

PDF

Collaborative Pure Exploration in Kernel Bandit

Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang

Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023

PDF

Combinatorial Pure Exploration of Causal Bandits

Nuoya Xiong, Wei Chen

Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023

PDF

Denoising Masked Auto-encoders Helps Robust Classification

QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

International Conference on Learning Representations (ICLR) 2023 | May 2023

Publication

Combinatorial Causal Bandits

Shi Feng, Wei Chen

Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023

PDF Preprint

Scalable Adversarial Attack Algorithms on Influence Maximization

Lichao Sun, Xiaobin Rui, Wei Chen

Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023

PDF Preprint

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms

Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022

PDF

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret

Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022

PDF

Availability attacks create shortcuts

Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin

2022 Knowledge Discovery and Data Mining | August 2022

Publication

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum

Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama

ICML 2022 | July 2022

Publication

Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351

PDF

Differentially private fine-tuning of language models

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

ICLR 2022 | April 2022

Publication Project

Online Competitive Influence Maximization

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen

Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022

PDF

Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback

Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022

This version fixed some bugs contained in the published version. See footnote in the first page.

PDF

Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global

Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang

Information and Computation | January 2022

PDF

Combinatorial Pure Exploration with Bottleneck Reward Function

Yihan Du, Yuko Kuroki, Wei Chen

Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021

PDF Publication

The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle

Fang Kong, Yueran Yang, Wei Chen, Shuai Li

Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021

PDF Publication

Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model

Shi Feng, Wei Chen

Proceedings of the 10th International Conference on Computational Social Networks (CSoNet’2021) | November 2021

Winner of the sole Best Paper Award

PDF

基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）

Fang Kong, Yueran Yang, Wei Chen, Shuai Li

大数据（Big Data Research） | September 2021, Vol 7(5)

PDF

基于样本的优化（Optimization from Samples）

Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen

大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110

PDF

Maximizing Social Welfare in a Competitive Diffusion Model

Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

VLDB 2021 | August 2021

PDF Publication

The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks

Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu

2021 International Conference on Machine Learning | July 2021

Publication

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning

Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

2021 International Conference on Machine Learning (ICML) | July 2021

PDF Publication

Network Inference and Influence Maximization from Samples

Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

2021 International Conference on Machine Learning (ICML) | July 2021

PDF Publication

Combinatorial Semi-Bandit in the Non-Stationary Environment

Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng

Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021

PDF Publication

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Wei Chen

ACL-IJCNLP 2021 | May 2021

Publication

Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback

Yihan Du, Yuko Kuroki, Wei Chen

Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021

PDF

Online Influence Maximization under Linear Threshold Model

Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020

Some typos in the original NeurIPS'2020 paper have been fixed.

PDF

Target Transfer Q-learning and Its Convergence Analysis

Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing | June 2020

Thompson Sampling for Combinatorial Semi-Bandits

Siwei Wang, Wei Chen

Proceedings of the 35th International Conference on Machine Learning (ICML’2018) | July 2018

PDF

Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting

Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

Advances in Neural Information Processing Systems | December 2017

Publication

Combinatorial Pure Exploration of Multi-Armed Bandits

Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS’2014) | December 2014

The PDF download link contains some bug fixes to the original paper.

PDF

Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate

Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan

Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011

PDF Preprint

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu

Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025

PDF

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024

PDF

Convergence to Equilibrium of No-regret Dynamics in Congestion Games

Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu

Conference on Web and Internet Economics (WINE) | December 2024

PDF Publication

Combinatorial Causal Bandits without Graph Skeleton

Shi Feng, Nuoya Xiong, Wei Chen

Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024

PDF

Query-Efficient Correlation Clustering with Noisy Oracle

Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

NeurIPS 2024 | December 2024

PDF DOI

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024

PDF

Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback

Yiliu Wang, Wei Chen, Milan Vojnovic

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

PDF

Cascading Reinforcement Learning

Yihan Du, R. Srikant, Wei Chen

Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024

PDF

Scalable Fair Influence Maximization

Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen

Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023

PDF Preprint

Mitigating Filter Bubbles Under a Competitive Diffusion Model

Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

PDF

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation

Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023

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Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022

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Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

NeurIPS 2021 | December 2021

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NeurIPS 2021 | December 2021

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Proceedings of the 10th International Conference on Computational Social Networks (CSoNet’2021) | November 2021

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AAAI 2021 | January 2021

Publication

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Wei Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

2021 International Conference on Machine Learning | December 2020

Publication

Online Influence Maximization under Linear Threshold Model

Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020

Some typos in the original NeurIPS'2020 paper have been fixed.

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GLGE: A New General Language Generation Evaluation Benchmark

Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Wei Chen, Jie Fu, Linjun Shou, Ming Gong (YIMING), Pengcheng Wang, Jiusheng Chen, Daxin Jiang (姜大昕), Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

ACL-IJCNLP 2021 | November 2020

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Thompson Sampling for Combinatorial Semi-Bandits

Siwei Wang, Wei Chen

Proceedings of the 35th International Conference on Machine Learning (ICML’2018) | July 2018

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Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting

Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

Advances in Neural Information Processing Systems | December 2017

Publication

Combinatorial Pure Exploration of Multi-Armed Bandits

Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS’2014) | December 2014

The PDF download link contains some bug fixes to the original paper.

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Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate

Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan

Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011

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Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach

Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao

Journal of Informetrics | August 2024, Vol 18(3)

Publication

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Stabilize Deep ResNet with A Sharp Scaling Factor τ

Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

Machine Learning | September 2022

Publication Publication

The pure exploration problem with general reward functions depending on full distributions

Siwei Wang, Wei Chen

Machine Learning | July 2022

Publication

Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351

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Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global

Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang

Information and Computation | January 2022

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基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）

Fang Kong, Yueran Yang, Wei Chen, Shuai Li

大数据（Big Data Research） | September 2021, Vol 7(5)

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基于样本的优化（Optimization from Samples）

Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen

大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110

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Target Transfer Q-learning and Its Convergence Analysis

Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing | June 2020

Contextual Bandit Applications in a Customer Support Bot

Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen

August 2021

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

Xufang Luo, Qi Meng, Wei Chen, Tie-Yan Liu

June 2021