Minmin Chen

发表

Fault prediction research based on the data analysis of servo feed system on CNC

Ding Wang, Zhi Gao, Bangcheng Zhang, 2014, 2014 Prognostics and System Health Management Conference (PHM-2014 Hunan).

The Dynamics of Signal Propagation in Gated Recurrent Neural Networks

Samuel S. Schoenholz, Jeffrey Pennington, Greg Yang, 2019 .

From sBoW to dCoT marginalized encoders for text representation

Kilian Q. Weinberger, Minmin Chen, Fei Sha, 2012, CIKM '12.

Categorical-Attributes-Based Multi-Level Classification for Recommender Systems

Ed H. Chi, Minmin Chen, Francois Belletti, 2018 .

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

Ed H. Chi, Minmin Chen, Francois Belletti, 2019, KDD.

Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks pdf

Samuel S. Schoenholz, Jeffrey Pennington, Minmin Chen, 2018, ICML.

Improving context-aware query classification via adaptive self-training

Yixin Chen, Jian-Tao Sun, Minmin Chen, 2011, CIKM '11.

Surrogate Objectives for Batch Policy Optimization in One-step Decision Making

Minmin Chen, Dale Schuurmans, Christopher K. Harris, 2019, NeurIPS.

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs pdf

Samuel S. Schoenholz, Jeffrey Pennington, Greg Yang, 2019, ArXiv.

Marginalizing stacked linear denoising autoencoders

Kilian Q. Weinberger, Minmin Chen, Fei Sha, 2015, J. Mach. Learn. Res..

Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics

Yixin Chen, Minmin Chen, Michael R. Brent, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks pdf

Minmin Chen, Minmin Chen, 2017, ArXiv.

Quantifying Long Range Dependence in User Behavior to improve RNNs

Ed H. Chi, Minmin Chen, Francois Belletti, 2019 .

Marginalized Denoising Auto-encoders for Nonlinear Representations

Yoshua Bengio, Kilian Q. Weinberger, Minmin Chen, 2014, ICML.

Top-K Off-Policy Correction for a REINFORCE Recommender System

Ed H. Chi, Ed Huai-hsin Chi, Minmin Chen, 2018, WSDM.

Co-Training for Domain Adaptation

John Blitzer, Kilian Q. Weinberger, Minmin Chen, 2011, NIPS.

Fast Image Tagging

Kilian Q. Weinberger, Minmin Chen, Alice X. Zheng, 2013, ICML.

Marginalizing Corrupted Features pdf

Stephen Tyree, Kilian Q. Weinberger, Laurens van der Maaten, 2014, ArXiv.

Off-policy Learning in Two-stage Recommender Systems

Ed H. Chi, Xinyang Yi, Jiaqi Ma, 2020, WWW.

Classifier Cascade for Minimizing Feature Evaluation Cost

Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle, 2012, AISTATS.

Efficient Vector Representation for Documents through Corruption pdf

Minmin Chen, Minmin Chen, 2017, ICLR.

Categorical-attributes-based item classification for recommender systems

Qian Zhao, Ed H. Chi, Ed Huai-hsin Chi, 2018, RecSys.

Research of the drive mode and reliability for rail vehicle LED drive system

Zhi Gao, Bangcheng Zhang, Xiaojing Yin, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

Marginalized Denoising for Link Prediction and Multi-Label Learning

Weixiong Zhang, Kilian Q. Weinberger, Zheng Chen, 2015, AAAI.

Learning with Marginalized Corrupted Features

Stephen Tyree, Kilian Q. Weinberger, Laurens van der Maaten, 2013, ICML.

An alternative text representation to TF-IDF and Bag-of-Words pdf

Kilian Q. Weinberger, Minmin Chen, Fei Sha, 2013, ArXiv.

Extended duality for nonlinear programming

Yixin Chen, Minmin Chen, Minmin Chen, 2010, Comput. Optim. Appl..

CRF-OPT: An Efficient High-Quality Conditional Random Field Solver

Yixin Chen, Minmin Chen, Michael R. Brent, 2008, AAAI.

Cost-Sensitive Tree of Classifiers

Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, 2012, ICML.

Marginalized Denoising Autoencoders for Domain Adaptation pdf

Kilian Q. Weinberger, Minmin Chen, Fei Sha, 2012, ICML.

Classifier cascades and trees for minimizing feature evaluation cost

Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, 2014, J. Mach. Learn. Res..

EstImAgg: A Learning Framework for Groupwise Aggregated Data

Suju Rajan, Minmin Chen, Zhengming Xing, 2019, SDM.

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks pdf

Ed H. Chi, Ed Huai-hsin Chi, Minmin Chen, 2019, ICLR.

Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data

Yixin Chen, Chenyang Lu, Gregory Hackmann, 2011, Int. J. Knowl. Discov. Bioinform..

Constrained optimization for validation-guided conditional random field learning

Yixin Chen, Minmin Chen, Michael R. Brent, 2009, KDD.

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

Ed H. Chi, Ed Huai-hsin Chi, Minmin Chen, 2019, WWW.

Automatic Feature Decomposition for Single View Co-training

Yixin Chen, Kilian Q. Weinberger, Minmin Chen, 2011, ICML.

Medical Data Mining for Early Deterioration Warning in General Hospital Wards

Yixin Chen, Chenyang Lu, Gregory Hackmann, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

Konstantina Christakopoulou, Craig Boutilier, Ed H. Chi, 2021, WWW.

Batch Reinforcement Learning Through Continuation Method

Nicolas Le Roux, Ed H. Chi, Minmin Chen, 2021, ICLR.

Recency Dropout for Recurrent Recommender Systems

Minmin Chen, Ed Chi, Ya Le, 2022 .

User Response Models to Improve a REINFORCE Recommender System

Minmin Chen, Bo Chang, Ed H. Chi, 2021, WSDM.

Values of User Exploration in Recommender Systems

Ed H. Chi, Minmin Chen, Su-Lin Wu, 2021, RecSys.

Exploration in Recommender Systems

Minmin Chen, Minmin Chen, 2021, RecSys.

Toward a two-tier clinical warning system for hospitalized patients.

Yixin Chen, Chenyang Lu, Gregory Hackmann, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.