Chen, Minmin

19 publications

ICML 2025 EVOLvE: Evaluating and Optimizing LLMs for In-Context Exploration Allen Nie, Yi Su, Bo Chang, Jonathan Lee, Ed H. Chi, Quoc V Le, Minmin Chen

ECML-PKDD 2025 Reward Shaping for User Satisfaction Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

ICLR 2021 Batch Reinforcement Learning Through Continuation Method Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed Chi, Honglak Lee, Minmin Chen

ICLR 2019 AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

NeurIPS 2019 Surrogate Objectives for Batch Policy Optimization in One-Step Decision Making Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans

ICML 2018 Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks Minmin Chen, Jeffrey Pennington, Samuel Schoenholz

ICLR 2017 Efficient Vector Representation for Documents Through Corruption Minmin Chen

AAAI 2015 Marginalized Denoising for Link Prediction and Multi-Label Learning Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Weixiong Zhang

JMLR 2015 Marginalizing Stacked Linear Denoising Autoencoders Minmin Chen, Kilian Q. Weinberger, Zhixiang Xu, Fei Sha

JMLR 2014 Classifier Cascades and Trees for Minimizing Feature Evaluation Cost Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle

ICML 2014 Marginalized Denoising Auto-Encoders for Nonlinear Representations Minmin Chen, Kilian Weinberger, Fei Sha, Yoshua Bengio

ICML 2013 Cost-Sensitive Tree of Classifiers Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen

ICML 2013 Fast Image Tagging Minmin Chen, Alice Zheng, Kilian Weinberger

ICML 2013 Learning with Marginalized Corrupted Features Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger

AISTATS 2012 Classifier Cascade for Minimizing Feature Evaluation Cost Minmin Chen, Zhixiang Xu, Kilian Weinberger, Olivier Chapelle, Dor Kedem

ICML 2012 Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha

ICML 2011 Automatic Feature Decomposition for Single View Co-Training Minmin Chen, Kilian Q. Weinberger, Yixin Chen

NeurIPS 2011 Co-Training for Domain Adaptation Minmin Chen, Kilian Q. Weinberger, John Blitzer

AAAI 2008 CRF-OPT: An Efficient High-Quality Conditional Random Field Solver Minmin Chen, Yixin Chen, Michael R. Brent