Minmin Chen

发表

Learning with Marginalized Corrupted Features

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

Marginalized Stacked Denoising Autoencoders

Kilian Q. Weinberger, Minmin Chen, Eddie Xu, 2012 .

Automatic Feature Decomposition for Single View Co-training

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

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.

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.

Learning from Incomplete Image Tags

Kilian Q. Weinberger, Minmin Chen, 2012 .

Classifier Cascade for Minimizing Feature Evaluation Cost

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

The Dynamics of Signal Propagation in Gated Recurrent Neural Networks

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

Learning to Augment for Casual User Recommendation

Ed H. Chi, Minmin Chen, Ya Le, 2022, WWW.

Reward Shaping for User Satisfaction in a REINFORCE Recommender

Ed H. Chi, Ya Le, Minmin Chen, 2022, ArXiv.

Surrogate for Long-Term User Experience in Recommender Systems

Ed H. Chi, Minmin Chen, Can Xu, 2022, KDD.

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

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

Quantifying Long Range Dependence in User Behavior to improve RNNs

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

Constrained optimization for validation-guided conditional random field learning

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

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

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

Learning with single view co-training and marginalized dropout

Kilian Q. Weinberger, Minmin Chen, Minmin Chen, 2013 .

Improving context-aware query classification via adaptive self-training

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

Categorical-attributes-based item classification for recommender systems

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

Co-Training for Domain Adaptation

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

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks pdf

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

Off-policy Learning in Two-stage Recommender Systems

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

Marginalized Denoising Autoencoders for Domain Adaptation pdf

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

Extended duality for nonlinear programming

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

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

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

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

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

Fast Image Tagging

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

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

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

Batch Reinforcement Learning Through Continuation Method

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

Off-Policy Actor-critic for Recommender Systems

Ed H. Chi, Aviral Kumar, Minmin Chen, 2022, RecSys.

Classifier cascades and trees for minimizing feature evaluation cost

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

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

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

Latent User Intent Modeling for Sequential Recommenders

Ed H. Chi, B. Chang, Minmin Chen, 2022, WWW.

Efficient Vector Representation for Documents through Corruption pdf

Minmin Chen, Minmin Chen, 2017, ICLR.

Cost-Sensitive Tree of Classifiers

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

Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems

Ed H. Chi, Minmin Chen, Pan Li, 2023, ArXiv.

User Response Models to Improve a REINFORCE Recommender System

B. Chang, Minmin Chen, Can Xu, 2021, WSDM.

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

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

Marginalized Denoising Auto-encoders for Nonlinear Representations

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

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

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

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.

Large Language Models for User Interest Journeys

Ed H. Chi, Minmin Chen, Lucas Dixon, 2023, ArXiv.

Efficient Vector Representation for Documents through Corruption

Minmin Chen, M. Chen, 2017, ICLR.

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.

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.

Value of Exploration: Measurements, Findings and Algorithms

Ed H. Chi, Minmin Chen, Yi-Hsun Su, 2023, ArXiv.

MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks pdf

Minmin Chen, Minmin Chen, 2017, ArXiv.

Marginalized Denoising for Link Prediction and Multi-Label Learning

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

Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data

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

Marginalizing stacked linear denoising autoencoders

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

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems

Ed H. Chi, B. Chang, Minmin Chen, 2023, WWW.

Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

Ed H. Chi, Hao Wang, Minmin Chen, 2023, KDD.

Deconfounding User Satisfaction Estimation from Response Rate Bias

Konstantina Christakopoulou, Ed H. Chi, Trevor Potter, 2020, RecSys.

Bias-robust Integration of Observational and Experimental Estimators

D. Sontag, Minmin Chen, Yuyan Wang, 2022 .

User Response Models to Improve a REINFORCE Recommender System

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

Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations

Ed H. Chi, Minmin Chen, Pan Li, 2023, ArXiv.