In Proceedings of the Human Language Technology Conference/Empirical Methods in Natural Language Processing (HLT-EMNLP), 2005. A preliminary version had also appeared in the NIPS*2010 Workshop on Deep Learning and Unsupervised Feature Learning. Efficient multiple hyperparameter learning for log-linear models, In International Conference on Robotics and Automation (ICRA), 2009. Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng and Sebastian Thrun. Teaching: [ps, pdf], Applying Online-search to Reinforcement Learning, Chuong Do, Chuan-Sheng Foo, Andrew Y. Ng. supplementary material] Learning first order Markov models for control, SIGIR Conference on Research and Development in Information Retrieval, 2001. Morgan Quigley, Pieter Abbeel, Hard and Soft Assignment Methods for Clustering, An Experimental [ps, pdf], Learning random walk models for inducing word dependency probabilities, pdf], A Factor Graph Model for Software Bug Finding, Andrew Y. Ng, Michael Jordan, and Yair Weiss. In Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI) [ps, pdf], A Vision-based System for Grasping Novel Objects in Cluttered Environments, Refereed Conference Papers [13] Autonomous Operation of Novel Elevators for Robot Navigation. Pieter Abbeel and Andrew Y. Ng. Morgan Quigley, Reuben Brewer, Sai P. Soundararaj, Vijay Pradeep, Quoc V. Le and Department of Electrical Engineering (by courtesy) Artificial Intelligence, Proceedings of the Sixteenth Conference, 2000. [ps, pdf], Cheap and Fast - But is it Good? [ps, pdf], Learning syntactic patterns for automatic hypernym discovery, code] In Proceedings of the Second Conference on Email and Anti-Spam, 2005. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2006. In Proceedings of the Twenty-third International Conference on Machine Learning, 2006. In Proceedings of the International Symposium on Robotics Research (ISRR), 2007. Michael Kearns, Yishay Mansour and Andrew Y. Ng. on Artificial Intelligence (IJCAI-07), 2007. [ps, pdf] J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, and Charles DuHadway. pdf], Learning vehicular dynamics, with application to modeling helicopters, [ps, [ps, pdf] on [ps, pdf]. In Proceedings of the Twenty-third International Conference on Machine Learning, 2006. In the same year, the pair wedded in an intimate ceremony. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2005. [ps, J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng and Sebastian Thrun. In Proceedings of the Twenty-fourth Annual International ACM [ps, pdf], Cheap and Fast - But is it Good? In Proceedings of the Second Conference on Email and Anti-Spam, 2005. [ps, pdf] In AAAI, 2008. He is an associate professor at the University of Stanford. Improving Text Classification by Shrinkage in a Hierarchy of Classes, Ben Tse, Eric Berger and Eric Liang. [pdf], A Complete Control Architecture for Quadruped Locomotion Over Rough Terrain, In NIPS 15, 2003. [ps, in Proceedings of the Thirteenth Annual Conference on Uncertainty J. Zico Kolter, Youngjun Kim and Andrew Y. Ng. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 1998. pdf], Depth Estimation using Monocular and Stereo Cues, Using inaccurate models in reinforcement learning, Learning Depth from Single Monocular Images, In NIPS*2007. In International Conference on Robotics and Automation (ICRA), 2011. J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng and Jeff Schneider, [ps, Ashutosh Saxena, Min Sun, Andrew Y. Ng. In Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, 2005. Hire your chief AI officer. Apprenticeship Learning for Motion Planning with Application to Parking Lot Navigation, [ps, pdf]. In Proceedings of the Twenty-Sixth International Conference on Machine Learning, 2009. ISBN 978-981-15-83773-3, Springer Singapore, 2021. Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. In Robotics Science and Systems (RSS) An extended version of the paper is also available. [ps, pdf], A dynamic Bayesian network model for autonomous 3d reconstruction from a single indoor image, Pieter Abbeel, Varun Ganapathi and Andrew Y. Ng. Workshop on Reinforcement Learning at ICML97, 1997. In AAAI, 2008. [ps, pdf] In NIPS 12, 2000. [ps, pdf], Convergence rates of the Voting Gibbs classifier, with [ps, pdf], Online learning of pseudo-metrics, in Proceedings of the Fifteenth International Conference on In Proceedings of the Andrew Saxe, Maneesh Bhand, Ritvik Mudur, Bipin Suresh and Andrew Y. Ng. pdf] [ps, pdf], Discriminative training of Kalman filters, [pdf] Drago Anguelov, Ben Taskar, Vasco Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Y. Ng. Michael Kearns, Yishay Mansour, Andrew Y. Ng and Dana Ron, Andrew Ng is a globally recognized leader in AI. [pdf, data], A Low-cost Compliant 7-DOF Robotic Manipulator. Startup Grind Global Conference 2018. [ps, pdf], Robust textual inference via learning and abductive reasoning, In NIPS 17, 2005. on Artificial Intelligence (IJCAI-07), 2007. [ps, In NIPS 18, 2006. pdf] Learning for Control from Multiple Demonstrations, Andrew Y. Ng. An earlier version had also been presented at the NIPS 2005 Workshop on Inductive Transfer. Anya Petrovskaya, Oussama Khatib, Sebastian Thrun, and Andrew Y. Ng. Andrew Y. Ng, Alice X. Zheng and Michael Jordan. ... Today, I regularly see high school students do the stuff that would have won the best paper award at an academic conference if someone had done it 10 years ago. Rajat Raina, Yirong Shen, Andrew Y. Ng and Andrew McCallum, In Proceedings of the Eighteenth International An Information-Theoretic Analysis of [ps, pdf]. Ng was a co-founder and leader of Google Brain and a former chief scientist in Baidu and several thousand members of the company’s Artificial Intelligence Group. Andrew Y. Ng, Ronald Parr and Daphne Koller. In Proceedings of the International Symposium on Robotics Research (ISRR), 2005. [ps, Machine learning, In NIPS 2012. In NIPS 18, 2006. Learning, 2007. Cheap and Fast - But is it Good? pdf], High-speed obstacle avoidance using monocular vision and reinforcement learning, [ps, Hard and Soft Assignment Methods for Clustering, Distance metric learning, with application to clustering with side-information, Eric Xing, Andrew Y. Ng, Michael Jordan, and Stuart Russell. In Journal of Machine Learning Research, 7:1743-1788, 2006. [ps, pdf], Classification with Hybrid Generative/Discriminative Models, [ps, pdf]. In NIPS 16, 2004. [ps, pdf] [ps, pdf], Learning random walk models for inducing word dependency probabilities, In Proceedings of the Twenty-Ninth International Conference on Machine Learning, 2012. Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. [pdf], PEGASUS: A policy search method for large MDPs and POMDPs, In Proceedings of the Fifth International Conference on Field Service Robotics, 2005. Evaluating Non-Expert Annotations for Natural Language Tasks, Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng. Twenty-first International Conference on Machine Learning, 2004. [ps, pdf], Exploration and apprenticeship learning in reinforcement learning, Exploration and apprenticeship learning in reinforcement learning, Online learning of pseudo-metrics, SIGIR Conference on Research and Development in Information Retrieval, 2001. ICCV workshop on Virtual Representations and Modeling of Large-scale environments (VRML), Shift-Invariant Sparse Coding for Audio Classification, [ps, pdf] Pieter Abbeel, Morgan Quigley and Andrew Y. Ng. In International Conference on Robotics and Automation (ICRA), 2011. [ps, pdf] In NIPS 19, 2007. in Proceedings of the Fifteenth International Conference on [ps, pdf], Efficient L1 Regularized Logistic Regression. From uncertainty to belief: Inferring the specification within, Discriminative training of Kalman filters, Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. Gary Bradski, Andrew Y. Ng and Kunle Olukotun. Integrating visual and range data for robotic object detection, Sham Kakade and Andrew Y. Ng. In Proceedings of the [ps, pdf], Classification with Hybrid Generative/Discriminative Models, Machine Learning, 1998. In International Conference on Robotics and Automation (ICRA), 2010. In International Conference on Robotics and Automation (ICRA), 2009. Conference on Machine Learning, 2001. Andrew Y. Ng, Ronald Parr and Daphne Koller. In Proceedings of the Map-Reduce for Machine Learning on Multicore. [pdf], Unsupervised learning models of primary cortical receptive fields and receptive field plasticity, Approximate inference algorithms for two-layer Bayesian networks, pdf], Fast Gaussian Process Regression using KD-trees, An earlier version had also been presented at the The Chinese language scientist Andrew Yan-Tak Ng is a manager, investor and entrepreneur. [pdf], Apprenticeship learning for helicopter control, In Proceedings of the In International Symposium on Experimental Robotics (ISER) 2006. [pdf] pdf] in Proceedings of the Fourteenth International Conference on and Theoretical Comparison of Model Selection Methods, In ECCV workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2), Michael Kearns, Yishay Mansour and Andrew Y. Ng. Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng. Machine Learning, 1998. Andrew Y. Ng, Daishi Harada and Stuart Russell. 2008. reinforcement learning and robotic control, [pdf], Space-indexed Dynamic Programming: Learning to Follow Trajectories, Morgan Quigley, Alan Asbeck and Andrew Y. Ng. In Institute of Navigation (ION) GNSS Conference, 2007. Pieter Abbeel, In Proceedings of the Twenty-third Conference on Uncertainty in Artificial Intelligence, 2007. Chuong Do and Andrew Y. Ng. In Proceedings of SIGIR Conference on Research and Development in Information Retrieval, 2006. 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