Eric P. Xing
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Eric P. Xing is a person.
References
- Professional Homepage: http://www.cs.cmu.edu/~epxing/
- DBLP Author Page: http://www.informatik.uni-trier.de/~ley/pers/hd/x/Xing:Eric_P=.html
2023
- (Zheng, Chiang et al., 2023) ⇒ Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. (2023). “Judging LLM-as-a-judge with MT-Bench and Chatbot Arena.” In: arXiv preprint arXiv:2306.05685. doi:10.48550/arXiv.2306.05685
2019
- (Tang et al., 2019) ⇒ Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, and Zhiting Hu. (2019). “Target-guided Open-domain Conversation.” arXiv preprint arXiv:1905.11553
2018
- (Hu et al., 2018) ⇒ Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Hector Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, and Eric P. Xing. (2018). “Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.” In: arXiv preprint arXiv:1809.00794.
2015
- (Xing et al., 2015) ⇒ Eric P. Xing, Qirong Ho, Wei Dai, Jin-Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, and Yaoliang Yu. (2015). “Petuum: A New Platform for Distributed Machine Learning on Big Data.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783323
2013
- (Ranganath et al., 2013) ⇒ Rajesh Ranganath, Chong Wang, David M. Blei, and Eric P. Xing. (2013). "An Adaptive Learning Rate for Stochastic Variational Inference." In: International Conference on Machine Learning (ICML-2013).
2009
- (Martins et al., 2009) ⇒ André Martins, Noah A. Smith, and Eric P. Xing. (2009). “Concise Integer Linear Programming Formulations for Dependency Parsing.” In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP.
- (Zhu et al., 2009) ⇒ Jun Zhu, Eric P. Xing, and Bo Zhang. (2009). “Primal Sparse Max-Margin Markov Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557132
2008
- (Airoldi et al., 2008) ⇒ Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, and Eric P. Xing. (2008). “Mixed Membership Stochastic Blockmodels.” In: The Journal of Machine Learning Research, 9.
- (Ahmed & Xing, 2008) ⇒ Amr Ahmed and Eric P. Xing. (2008). “Dynamic Non-parametric Mixture Models and the Recurrent Chinese Restaurant Process: With Applications to Evolutionary Clustering.” In: Proceedings of SDM.
- (Martins et al., 2008) ⇒ André F. T. Martins, Dipanjan Das, Noah A. Smith, and Eric P. Xing. (2008). “Stacking Dependency Parsers.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.
2003
- (Xing, Ng, et al., 2003) ⇒ Eric P. Xing, Andrew Y. Ng, Michael I. Jordan and Stuart J. Russell. (2003). “Distance Metric Learning, with Application to Clustering with Side-Information.” In: Advances in Neural Information Processing Systems (NIPS 15).
- (Xing, Jordan & Russell, 2003) ⇒ Eric P. Xing, Michael I. Jordan, and Stuart J. Russell. (2003). “A Generalized Mean Field Algorithm for Variational Inference in Exponential Families.” In: Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI 2003).
2002
- (Xing et al., 2002a) ⇒ Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart J. Russell. (2002). “A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.” In: In: Proceedings of Advances in Neural Information Processing Systems.
- (Xing et al., 2002b) ⇒ Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, and Stuart J. Russell. “Distance Metric Learning, with Application to Clustering with Side-Information.” In: Advances in Neural Information Processing Systems 15 (NIPS 2002).