基本信息
陈薇  女  博导  中国科学院计算技术研究所
电子邮件: chenwei2022@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码:

招生信息

   
招生专业
081202-计算机软件与理论
招生方向
机器学习

教育背景

2006-09--2011-07   中国科学院研究生院   理学博士
2002-09--2006-07   山东大学   理科学士

工作经历

   
工作简历
2011-07~2022-02,微软亚洲研究院, principal research manager
社会兼职
2021-06-01-2024-06-01,兼职教授,
2021-04-02-2024-04-02,兼职教授, 数据科学交叉研究中心副主任
2019-02-28-2024-03-01,博士生导师,

出版信息

   
发表论文
(1) Interpreting the Basis Path Set in Neural Networks, JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2021, 第 3 作者
(2) How Does Data Augmentation Affect Privacy in Machine Learning?, 2021, 
(3) Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning, 2021, 
(4) Machine-Learning Non-Conservative Dynamics for New-Physics Detection, 2021, 
(5) The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks, 2021, 
(6) Large Scale Private Learning via Low-rank Reparametrization, 2021, 
(7) R-Drop: Regularized Dropout for Neural Networks, 2021, 
(8) Learning Causal Semantic Representation for Out-of-Distribution Prediction, 2021, 
(9) Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data, IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 第 4 作者
(10) Asynchronous Stochastic Gradient Descent with Delay Compensation, 2020, 
(11) Gradient Perturbation is Underrated for Differentially Private Convex Optimization, 2020, 
(12) Convergence analysis of distributed stochastic gradient descent with shuffling, NEUROCOMPUTING, 2019, 第 2 作者
(13) Capacity Control of ReLU Neural Networks by Basis-Path Norm, THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, 
(14) Reinforcement Learning with Dynamic Boltzmann Softmax Updates, 2019, 
(15) Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning, PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18), 2018, 
(16) On the Local Hessian in Back-propagation, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 
(17) LightGBM: A Highly Efficient Gradient Boosting Decision Tree, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 
(18) Generalization Error Bounds for Optimization Algorithms via Stability, THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, 
(19) Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT I, 2017, 
(20) Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction, THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, 
(21) Reinforcement learning behaviors in sponsored search, APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2016, 第 1 作者
(22) On the Depth of Deep Neural Networks: A Theoretical View, THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 
(23) Sponsored Search Auctions: Recent Advances and Future Directions, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2015, 第 2 作者
(24) Generalization Analysis for Game-Theoretic Machine Learning, PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, 
(25) Agent Behavior Prediction and Its Generalization Analysis, PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2014, 
(26) Sampling Dilemma: Towards Effective Data Sampling for Click Prediction in Sponsored Search, WSDM'14: PROCEEDINGS OF THE 7TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2014, 
(27) Online learning for auction mechanism in bandit setting, DECISION SUPPORT SYSTEMS, 2013, 第 2 作者
(28) A Theoretical Analysis of NDCG Type Ranking Measures, 
(29) A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search, 
(30) Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting, 
(31) Differential Equations for Modeling Asynchronous Algorithms, 
(32) Asynchronous accelerated stochastic gradient descent (EI收录), 
(33) Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems, 
(34) Towards Binary-Valued Gates for Robust LSTM Training, 
(35) Generalized Second Price Auction with Probabilistic Broad Match, 
(36) Dual Supervised Learning, 
发表著作
(1) 分布式机器学习:算法、理论与实践, Distributed Machine Learning: Theories, Algorithms, and Systems, 机械工业出版社, 2018-04, 第 2 作者