Andrew Y. Ng

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Andrew Y. Ng is a person.

See: L1-Regularized Logistic Regression Algorithm, Sparse Coding Algorithm.

References

2017

(Arik et al., 2017) ⇒ Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, and Mohammad Shoeybi. (2017). “Deep Voice: Real-time Neural Text-to-speech.” In: arXiv preprint arXiv:1702.07825.

2016

(Amodei et al., 2016) ⇒ Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu. (2016). “Deep Speech 2: End-to-end Speech Recognition in English and Mandarin.” In: Proceedings of the International Conference on Machine Learning (ICML-2016).
(Xie et al., 2016) ⇒ Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, and Andrew Y. Ng. (2016). “Neural Language Correction with Character-Based Attention.” In: CoRR, abs/1603.09727.

2012

(Huang et al., 2012) ⇒ Eric H. Huang, Richard Socher, Christopher D. Manning, and Andrew Y. Ng. (2012). “Improving Word Representations via Global Context and Multiple Word Prototypes.” In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).

2011

(Socher et al., 2011a) ⇒ Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. (2011). “Semi-supervised Recursive Autoencoders for Predicting Sentiment Distributions.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. ISBN:978-1-937284-11-4
(Socher et al., 2011b) ⇒ Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning, and Andrew Y. Ng. (2011). “Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection.” In: Advances in Neural Information Processing Systems, pp. 801-809.

2009

(Lee et al., 2009) ⇒ Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng. (2009). “Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations.” In: Proceedings of the 26th Annual International Conference on Machine Learning (ICML 2009). ISBN:978-1-60558-516-1 doi:10.1145/1553374.1553453

2006

(Lee, Lee et al., 2006) ⇒ Su-In Lee, Honglak Lee, Pieter Abbeel, and Andrew Y. Ng. (2006). “Efficient L1 Regularized Logistic Regression.” In: Proceedings of the 2006 AAAI Conference (AAAI 2006).
(Lee et al., 2006) ⇒ Honglak Lee, Alexis Battle, Rajat Raina, and Andrew Y. Ng. (2006). “Efficient Sparse Coding Algorithms.” In: Advances in Neural Information Processing Systems (NIPS 2016).
(Chu et al., 2006) ⇒ Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary Bradski, Andrew Y. Ng, and Kunle Olukotun. (2006). “Map-Reduce for Machine Learning on Multicore.” In: Proceedings of the 19th International Conference on Neural Information Processing Systems.

2004

(Snow et al., 2004) ⇒ Rion Snow, Daniel Jurafsky, and Andrew Y. Ng. (2004). “Learning Syntactic Patterns for Automatic Hypernym Discovery.” In: Advances in Neural Information Processing Systems, 17. (NIPS 2004).
(Ng, 2004) ⇒ Andrew Y. Ng. (2004). “Feature Selection, L1 vs. L2 Regularization, and Rotational Invariance.” In: Proceedings of the twenty-first International Conference on Machine learning (ICML 2004) doi:10.1145/1015330.1015435
(Abbeel & Ng, 2004) ⇒ Pieter Abbeel, and Andrew Y. Ng. (2004). “Apprenticeship Learning via Inverse Reinforcement Learning.” In: Proceedings of the twenty-first International Conference on Machine learning, p. 1 . ACM,

2003

(Blei, Ng & Jordan, 2003) ⇒ David M. Blei, Andrew Y. Ng, and Michael I. Jordan. (2003). “Latent Dirichlet Allocation.” In: The Journal of Machine Learning Research, 3. doi:10.1162/jmlr.2003.3.4-5.993
(Xing 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, 15 (NIPS 2003).
(Blei, Jordan & Ng, 2003) ⇒ David M. Blei, Michael I. Jordan, and Andrew Y. Ng. (2003). “Hierarchical Bayesian Models for Applications in Information Retrieval.” In: Bayesian Statistics, 7. ISBN:0198526156

2002

(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).

2001

(Ng & Jordan, 2001) ⇒ Andrew Y. Ng, and Michael I. Jordan. (2001). “On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes.” In: Proceeding of NIPS Conference, 13 (NIPS 2001).
(Ng, Jordan & Weiss, 2001) ⇒ Andrew Y. Ng, Michael I. Jordan, and Yair Weiss. (2001). “On Spectral Clustering: Analysis and an algorithm.” In: Advances in Neural Information Processing Systems, 14 (NIPS 2001)
(Ng, Zheng & Jordan, 2001) ⇒ Andrew Y. Ng, Alice X. Zheng, and Michael I. Jordan. (2001). “Stable Algorithms for Link Analysis.” In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2001). doi:10.1145/383952.384003

2000

(Ng & Russell, 2000) ⇒ Andrew Y. Ng, and Stuart J. Russell. (2000). “Algorithms for Inverse Reinforcement Learning.” In: Proceedings of ICML 2000.

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