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2020 – today
- 2024
[c48]Minmin Chen
:
Exploration: Measurements and Systems. ICTIR 2024: 1- [c47]Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen:
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. KDD 2024: 5723-5730 - [c46]Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri:
TSMO 2024: Two-sided Marketplace Optimization. KDD 2024: 6716-6717 - [c45]Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Long-Term Value of Exploration: Measurements, Findings and Algorithms. WSDM 2024: 636-644 - [c44]Jianling Wang, Haokai Lu, Minmin Chen:
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM 2024: 1186-1187 - [c43]Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen:
Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. WWW (Companion Volume) 2024: 151-160 - [c42]Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen:
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) 2024: 726-729 - [i28]Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen:
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR abs/2402.11724 (2024) - [i27]Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen:
Diversifying by Intent in Recommender Systems. CoRR abs/2405.12327 (2024) - [i26]Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen:
LLMs for User Interest Exploration: A Hybrid Approach. CoRR abs/2405.16363 (2024) - [i25]Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou:
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR abs/2406.04520 (2024) - 2023
- [c41]Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. KDD 2023: 5082-5091 - [c40]Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi:
Online Matching: A Real-time Bandit System for Large-scale Recommendations. RecSys 2023: 403-414 - [c39]Konstantina Christakopoulou, Minmin Chen:
Towards Companion Recommenders Assisting Users' Long-Term Journeys. RecSys 2023: 1039-1041 - [c38]Yi Su, Minmin Chen:
Nonlinear Bandits Exploration for Recommendations. RecSys 2023: 1054-1057 - [c37]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) 2023: 427-431 - [c36]Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen:
Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) 2023: 966-972 - [i24]Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Value of Exploration: Measurements, Findings and Algorithms. CoRR abs/2305.07764 (2023) - [i23]Konstantina Christakopoulou, Alberto Lalama, Cj Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi, Minmin Chen:
Large Language Models for User Interest Journeys. CoRR abs/2305.15498 (2023) - [i22]Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen:
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations. CoRR abs/2306.01475 (2023) - [i21]Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen:
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems. CoRR abs/2306.01476 (2023) - [i20]Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. CoRR abs/2306.01720 (2023) - [i19]Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi:
Online Matching: A Real-time Bandit System for Large-scale Recommendations. CoRR abs/2307.15893 (2023) - [i18]Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger:
Correction with Backtracking Reduces Hallucination in Summarization. CoRR abs/2310.16176 (2023) - 2022
- [j5]Yuguang Wu, Minmin Chen, Xin Wang:
Incentivized self-rebalancing fleet in electric vehicle sharing. IISE Trans. 54(2): 173-185 (2022) - [c35]Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen:
Surrogate for Long-Term User Experience in Recommender Systems. KDD 2022: 4100-4109 - [c34]Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi:
Off-Policy Actor-critic for Recommender Systems. RecSys 2022: 338-349 - [c33]Minmin Chen:
Exploration in Recommender Systems. WSDM 2022: 1642 - [c32]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. WWW 2022: 2183-2194 - [i17]Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen:
Recency Dropout for Recurrent Recommender Systems. CoRR abs/2201.11016 (2022) - [i16]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. CoRR abs/2204.00926 (2022) - [i15]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:
Reward Shaping for User Satisfaction in a REINFORCE Recommender. CoRR abs/2209.15166 (2022) - [i14]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. CoRR abs/2211.09832 (2022) - 2021
- [c31]Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen:
Batch Reinforcement Learning Through Continuation Method. ICLR 2021 - [c30]Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi:
Values of User Exploration in Recommender Systems. RecSys 2021: 85-95 - [c29]Minmin Chen:
Exploration in Recommender Systems. RecSys 2021: 551-553 - [c28]Minmin Chen, Bo Chang, Can Xu, Ed H. Chi:
User Response Models to Improve a REINFORCE Recommender System. WSDM 2021: 121-129 - [c27]Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. WWW 2021: 3872-3883 - [i13]Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. CoRR abs/2105.02377 (2021) - 2020
- [c26]Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen:
Deconfounding User Satisfaction Estimation from Response Rate Bias. RecSys 2020: 450-455 - [c25]Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi:
Off-policy Learning in Two-stage Recommender Systems. WWW 2020: 463-473
2010 – 2019
- 2019
- [c24]Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi:
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. ICLR (Poster) 2019 - [c23]Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. KDD 2019: 1317-1327 - [c22]Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans:
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. NeurIPS 2019: 8825-8835 - [c21]Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan:
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM 2019: 477-485 - [c20]Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. WSDM 2019: 456-464 - [c19]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW 2019: 1782-1793 - [i12]Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington:
Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. CoRR abs/1901.08987 (2019) - [i11]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR abs/1902.08588 (2019) - [i10]Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi:
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. CoRR abs/1902.09689 (2019) - [i9]Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. CoRR abs/1905.09414 (2019) - 2018
- [c18]Minmin Chen, Jeffrey Pennington, Samuel S. Schoenholz:
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks. ICML 2018: 872-881 - [c17]Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi:
Categorical-attributes-based item classification for recommender systems. RecSys 2018: 320-328 - [i8]Minmin Chen, Jeffrey Pennington, Samuel S. Schoenholz:
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks. CoRR abs/1806.05394 (2018) - [i7]Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. CoRR abs/1812.02353 (2018) - 2017
- [c16]Minmin Chen:
Efficient Vector Representation for Documents through Corruption. ICLR (Poster) 2017 - [i6]Minmin Chen:
Efficient Vector Representation for Documents through Corruption. CoRR abs/1707.02377 (2017) - [i5]Minmin Chen:
MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks. CoRR abs/1711.06788 (2017) - 2015
- [j4]Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha:
Marginalizing stacked linear denoising autoencoders. J. Mach. Learn. Res. 16: 3849-3875 (2015) - [c15]Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Weixiong Zhang:
Marginalized Denoising for Link Prediction and Multi-Label Learning. AAAI 2015: 1707-1713 - 2014
- [j3]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle:
Classifier cascades and trees for minimizing feature evaluation cost. J. Mach. Learn. Res. 15(1): 2113-2144 (2014) - [c14]Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio:
Marginalized Denoising Auto-encoders for Nonlinear Representations. ICML 2014: 1476-1484 - [i4]Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger:
Marginalizing Corrupted Features. CoRR abs/1402.7001 (2014) - 2013
- [c13]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen:
Cost-Sensitive Tree of Classifiers. ICML (1) 2013: 133-141 - [c12]Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger:
Learning with Marginalized Corrupted Features. ICML (1) 2013: 410-418 - [c11]Minmin Chen, Alice X. Zheng, Kilian Q. Weinberger:
Fast Image Tagging. ICML (3) 2013: 1274-1282 - [i3]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha:
An alternative text representation to TF-IDF and Bag-of-Words. CoRR abs/1301.6770 (2013) - 2012
- [c10]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha:
From sBoW to dCoT marginalized encoders for text representation. CIKM 2012: 1879-1884 - [c9]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha:
Marginalized Denoising Autoencoders for Domain Adaptation. ICML 2012 - [c8]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem:
Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS 2012: 218-226 - [i2]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha:
Marginalized Denoising Autoencoders for Domain Adaptation. CoRR abs/1206.4683 (2012) - [i1]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen:
Cost-Sensitive Tree of Classifiers. CoRR abs/1210.2771 (2012) - 2011
- [j2]Yi Mao, Yixin Chen, Gregory Hackmann, Minmin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey:
Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data. Int. J. Knowl. Discov. Bioinform. 2(3): 1-20 (2011) - [c7]Minmin Chen, Jian-Tao Sun, Xiaochuan Ni, Yixin Chen:
Improving context-aware query classification via adaptive self-training. CIKM 2011: 115-124 - [c6]Yi Mao, Yixin Chen, Gregory Hackmann, Minmin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey:
Medical Data Mining for Early Deterioration Warning in General Hospital Wards. ICDM Workshops 2011: 1042-1049 - [c5]Minmin Chen, Kilian Q. Weinberger, Yixin Chen:
Automatic Feature Decomposition for Single View Co-training. ICML 2011: 953-960 - [c4]Minmin Chen, Kilian Q. Weinberger, John Blitzer:
Co-Training for Domain Adaptation. NIPS 2011: 2456-2464 - 2010
- [j1]Yixin Chen, Minmin Chen:
Extended duality for nonlinear programming. Comput. Optim. Appl. 47(1): 33-59 (2010)
2000 – 2009
- 2009
- [c3]Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney:
Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics. ICTAI 2009: 750-757 - [c2]Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney:
Constrained optimization for validation-guided conditional random field learning. KDD 2009: 189-198 - 2008
- [c1]Minmin Chen, Yixin Chen, Michael R. Brent:
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver. AAAI 2008: 1018-1023
Coauthor Index
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