引用次数
引用: 4,617
H-指数: 29
I10-指数 : 40
出版物: 156
Fast Image Tagging
Kilian Weinberger , Minmin Chen , Alice Zheng
international conference on machine learning 1274 -1282
164
2013
Marginalized denoising for link prediction and multi-label learning
Kilian Q. Weinberger , Weixiong Zhang , Minmin Chen , Zheng Chen
national conference on artificial intelligence 1707 -1713
21
2015
Marginalized Denoising Auto-encoders for Nonlinear Representations
Yoshua Bengio , Kilian Weinberger , Fei Sha , Minmin Chen
international conference on machine learning 1476 -1484
154
2014
Co-Training for Domain Adaptation
Kilian Q. Weinberger , John Blitzer , Minmin Chen
neural information processing systems 24 2456 -2464
478
2011
Classifier cascades and trees for minimizing feature evaluation cost
Kilian Q. Weinberger , Olivier Chapelle , Matt J. Kusner , Zhixiang Xu
Journal of Machine Learning Research 15 ( 1) 2113 -2144
66
2014
Cost-Sensitive Tree of Classifiers
Kilian Weinberger , Matt Kusner , Zhixiang Xu , Minmin Chen
international conference on machine learning 133 -141
68
2013
Learning with Marginalized Corrupted Features
Laurens Van der Maaten , Kilian Weinberger , Minmin Chen , Stephen Tyree
international conference on machine learning 410 -418
130
2013
Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen , Zhixiang Xu , Kilian Weinberger , Olivier Chapelle
international conference on artificial intelligence and statistics 218 -226
47
2012
Marginalizing stacked linear denoising autoencoders
Kilian Q. Weinberger , Fei Sha , Zhixiang Xu , Minmin Chen
Journal of Machine Learning Research 16 ( 1) 3849 -3875
42
2015
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.
Minmin Chen , Ed H. Chi , Eldad Haber , Bo Chang
international conference on learning representations
161
2019
Quantifying Long Range Dependence in User Behavior to improve RNNs
Francois Belletti , Minmin Chen , Ed H. Chi
2019
Marginalized Denoising Autoencoders for Domain Adaptation
Kilian Weinberger , Fei Sha , Zhixiang Xu , Minmin Chen
arXiv: Learning
913
2012
Top-K Off-Policy Correction for a REINFORCE Recommender System.
Alex Beutel , Francois Belletti , Minmin Chen , Ed Chi
arXiv: Learning
333
2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Minmin Chen , Jeffrey Pennington , Samuel S. Schoenholz
international conference on machine learning 872 -881
94
2018
Efficient Vector Representation for Documents through Corruption
Minmin Chen
international conference on learning representations
141
2017
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
Dale Schuurmans , Ramki Gummadi , Chris Harris , Minmin Chen
neural information processing systems 32 8827 -8837
24
2019
User Response Models to Improve a REINFORCE Recommender System
Minmin Chen , Ed H. Chi , Bo Chang , Can Xu
web search and data mining 121 -129
17
2021
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
Alex Beutel , Craig Boutilier , Minmin Chen , Martin Mladenov
the web conference
3
2021
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs
Francois Belletti , Minmin Chen , Ed H. Chi
knowledge discovery and data mining 1317 -1327
2
2019
Deconfounding User Satisfaction Estimation from Response Rate Bias
Konstantina Christakopoulou , Madeleine Traverse , Trevor Potter , Emma Marriott
conference on recommender systems 450 -455
2
2020