Andrew Y. Ng

Computer Science Department, Stanford University

	2011
152		Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, Christopher Potts: Learning Word Vectors for Sentiment Analysis. ACL 2011: 142-150
151		Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng: Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. CVPR 2011: 3361-3368
150		Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, Christopher D. Manning: Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. EMNLP 2011: 151-161
149		Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng: Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. ICDAR 2011: 440-445
148		Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng: On Random Weights and Unsupervised Feature Learning. ICML 2011: 1089-1096
147		Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng: Learning Deep Energy Models. ICML 2011: 1105-1112
146		Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, Christopher D. Manning: Parsing Natural Scenes and Natural Language with Recursive Neural Networks. ICML 2011: 129-136
145		Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng: On optimization methods for deep learning. ICML 2011: 265-272
144		Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng: Multimodal Deep Learning. ICML 2011: 689-696
143		Adam Coates, Andrew Y. Ng: The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. ICML 2011: 921-928
142		Ellen Klingbeil, Deepak Rao, Blake Carpenter, Varun Ganapathi, Andrew Y. Ng, Oussama Khatib: Grasping with application to an autonomous checkout robot. ICRA 2011: 2837-2844
141		Carl Case, Bipin Suresh, Adam Coates, Andrew Y. Ng: Autonomous sign reading for semantic mapping. ICRA 2011: 3297-3303
140		Morgan Quigley, Alan T. Asbeck, Andrew Y. Ng: A low-cost compliant 7-DOF robotic manipulator. ICRA 2011: 6051-6058
139		Quoc V. Le, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Marc'Aurelio Ranzato, Jeff Dean, Andrew Y. Ng: Building high-level features using large scale unsupervised learning CoRR abs/1112.6209: (2011)
138		Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng: Unsupervised learning of hierarchical representations with convolutional deep belief networks. Commun. ACM 54(10): 95-103 (2011)
137		J. Zico Kolter, Andrew Y. Ng: The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion. I. J. Robotic Res. 30(2): 150-174 (2011)
136		Adam Coates, Andrew Y. Ng, Honglak Lee: An Analysis of Single-Layer Networks in Unsupervised Feature Learning. Journal of Machine Learning Research - Proceedings Track 15: 215-223 (2011)
	2010
135		Olga Russakovsky, Andrew Y. Ng: A Steiner tree approach to efficient object detection. CVPR 2010: 1070-1077
134		Adam Coates, Andrew Y. Ng: Multi-camera object detection for robotics. ICRA 2010: 412-419
133		Quoc V. Le, David Kamm, A. F. Kara, Andrew Y. Ng: Learning to grasp objects with multiple contact points. ICRA 2010: 5062-5069
132		Ellen Klingbeil, Blake Carpenter, Olga Russakovsky, Andrew Y. Ng: Autonomous operation of novel elevators for robot navigation. ICRA 2010: 751-758
131		J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun: A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving. ICRA 2010: 839-845
130		Deepak Rao, Quoc V. Le, Thanathorn Phoka, Morgan Quigley, Attawith Sudsang, Andrew Y. Ng: Grasping novel objects with depth segmentation. IROS 2010: 2578-2585
129		Ellen Klingbeil, Ashutosh Saxena, Andrew Y. Ng: Learning to open new doors. IROS 2010: 2751-2757
128		Morgan Quigley, Reuben D. Brewer, Sai Prashanth Soundararaj, Vijay Pradeep, Quoc V. Le, Andrew Y. Ng: Low-cost accelerometers for robotic manipulator perception. IROS 2010: 6168-6174
127		J. Zico Kolter, Siddharth Batra, Andrew Y. Ng: Energy Disaggregation via Discriminative Sparse Coding. NIPS 2010: 1153-1161
126		Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng: Tiled convolutional neural networks. NIPS 2010: 1279-1287
125		Adam Coates, Pieter Abbeel, Andrew Y. Ng: Autonomous Helicopter Flight Using Reinforcement Learning. Encyclopedia of Machine Learning 2010: 53-61
124		Pieter Abbeel, Andrew Y. Ng: Inverse Reinforcement Learning. Encyclopedia of Machine Learning 2010: 554-558
123		Pieter Abbeel, Adam Coates, Andrew Y. Ng: Autonomous Helicopter Aerobatics through Apprenticeship Learning. I. J. Robotic Res. 29(13): 1608-1639 (2010)
	2009
122		Jeff Bilmes, Andrew Y. Ng: UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 AUAI Press 2009
121		Rajat Raina, Anand Madhavan, Andrew Y. Ng: Large-scale deep unsupervised learning using graphics processors. ICML 2009: 110
120		Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng: A majorization-minimization algorithm for (multiple) hyperparameter learning. ICML 2009: 41
119		J. Zico Kolter, Andrew Y. Ng: Near-Bayesian exploration in polynomial time. ICML 2009: 65
118		J. Zico Kolter, Andrew Y. Ng: Regularization and feature selection in least-squares temporal difference learning. ICML 2009: 66
117		Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. ICML 2009: 77
116		J. Zico Kolter, Youngjun Kim, Andrew Y. Ng: Stereo vision and terrain modeling for quadruped robots. ICRA 2009: 1557-1564
115		J. Zico Kolter, Andrew Y. Ng: Task-space trajectories via cubic spline optimization. ICRA 2009: 1675-1682
114		Ashutosh Saxena, Andrew Y. Ng: Learning sound location from a single microphone. ICRA 2009: 1737-1742
113		Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashutosh Saxena, Andrew Y. Ng: Reactive grasping using optical proximity sensors. ICRA 2009: 2098-2105
112		Morgan Quigley, Siddharth Batra, Stephen Gould, Ellen Klingbeil, Quoc V. Le, Ashley Wellman, Andrew Y. Ng: High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening. ICRA 2009: 2816-2822
111		Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng: Learning 3-D object orientation from images. ICRA 2009: 794-800
110		Honglak Lee, Rajat Raina, Alex Teichman, Andrew Y. Ng: Exponential Family Sparse Coding with Application to Self-taught Learning. IJCAI 2009: 1113-1119
109		Quoc V. Le, Andrew Y. Ng: Joint calibration of multiple sensors. IROS 2009: 3651-3658
108		Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng: Scalable learning for object detection with GPU hardware. IROS 2009: 4287-4293
107		Honglak Lee, Peter T. Pham, Yan Largman, Andrew Y. Ng: Unsupervised feature learning for audio classification using convolutional deep belief networks. NIPS 2009: 1096-1104
106		Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee, Andrew Y. Ng: Measuring Invariances in Deep Networks. NIPS 2009: 646-654
105		J. Zico Kolter, Andrew Y. Ng: Policy search via the signed derivative. Robotics: Science and Systems 2009
104		Savil Srivastava, Ashutosh Saxena, Christian Theobalt, Sebastian Thrun, Andrew Y. Ng: i23 - Rapid Interactive 3D Reconstruction from a Single Image. VMV 2009: 19-28
103		Jan Peters, Andrew Y. Ng: Guest editorial: Special issue on robot learning, Part A. Auton. Robots 27(1): 1-2 (2009)
102		Jan Peters, Andrew Y. Ng: Guest editorial: Special issue on robot learning, Part B. Auton. Robots 27(2): 91-92 (2009)
101		Adam Coates, Pieter Abbeel, Andrew Y. Ng: Apprenticeship learning for helicopter control. Commun. ACM 52(7): 97-105 (2009)
100		Ashutosh Saxena, Min Sun, Andrew Y. Ng: Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 824-840 (2009)
	2008
99		Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng: A Fast Data Collection and Augmentation Procedure for Object Recognition. AAAI 2008: 1402-1408
98		Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng: Learning Grasp Strategies with Partial Shape Information. AAAI 2008: 1491-1494
97		Ashutosh Saxena, Min Sun, Andrew Y. Ng: Make3D: Depth Perception from a Single Still Image. AAAI 2008: 1571-1576
96		Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andrew Y. Ng: Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. EMNLP 2008: 254-263
95		Adam Coates, Pieter Abbeel, Andrew Y. Ng: Learning for control from multiple demonstrations. ICML 2008: 144-151
94		J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway: Space-indexed dynamic programming: learning to follow trajectories. ICML 2008: 488-495
93		J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng: A control architecture for quadruped locomotion over rough terrain. ICRA 2008: 811-818
92		Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebastian Thrun: Apprenticeship learning for motion planning with application to parking lot navigation. IROS 2008: 1083-1090
91		Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng: Autonomous Autorotation of an RC Helicopter. ISER 2008: 385-394
90		Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng: Robotic Grasping of Novel Objects using Vision. I. J. Robotic Res. 27(2): 157-173 (2008)
89		Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng: 3-D Depth Reconstruction from a Single Still Image. International Journal of Computer Vision 76(1): 53-69 (2008)
	2007
88		Rion Snow, Sushant Prakash, Daniel Jurafsky, Andrew Y. Ng: Learning to Merge Word Senses. EMNLP-CoNLL 2007: 1005-1014
87		Ashutosh Saxena, Min Sun, Andrew Y. Ng: 3-D Reconstruction from Sparse Views using Monocular Vision. ICCV 2007: 1-8
86		Ashutosh Saxena, Min Sun, Andrew Y. Ng: Learning 3-D Scene Structure from a Single Still Image. ICCV 2007: 1-8
85		Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng: Self-taught learning: transfer learning from unlabeled data. ICML 2007: 759-766
84		Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng: Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. IJCAI 2007: 2115-2121
83		Anna Petrovskaya, Andrew Y. Ng: Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors. IJCAI 2007: 2178-2184
82		Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng: Depth Estimation Using Monocular and Stereo Cues. IJCAI 2007: 2197-2203
81		Ted Kremenek, Andrew Y. Ng, Dawson R. Engler: A Factor Graph Model for Software Bug Finding. IJCAI 2007: 2510-2516
80		Ashutosh Saxena, Lawson L. S. Wong, Morgan Quigley, Andrew Y. Ng: A Vision-Based System for Grasping Novel Objects in Cluttered Environments. ISRR 2007: 337-348
79		Chuong B. Do, Chuan-Sheng Foo, Andrew Y. Ng: Efficient multiple hyperparameter learning for log-linear models. NIPS 2007
78		J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion. NIPS 2007
77		Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng: Sparse deep belief net model for visual area V2. NIPS 2007
76		J. Zico Kolter, Andrew Y. Ng: Learning omnidirectional path following using dimensionality reduction. Robotics: Science and Systems 2007
75		Roger Grosse, Rajat Raina, Helen Kwong, Andrew Y. Ng: Shift-Invariance Sparse Coding for Audio Classification. UAI 2007: 149-158
74		Masayoshi Matsuoka, Alan Chen, Surya P. N. Singh, Adam Coates, Andrew Y. Ng, Sebastian Thrun: Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array. I. J. Robotic Res. 26(2): 205-215 (2007)
	2006
73		Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng: Efficient L1 Regularized Logistic Regression. AAAI 2006
72		Rion Snow, Daniel Jurafsky, Andrew Y. Ng: Semantic Taxonomy Induction from Heterogenous Evidence. ACL 2006
71		Andrew Y. Ng: Reinforcement Learning and Apprenticeship Learning for Robotic Control. ALT 2006: 29-31
70		Mike Brzozowski, Kendra Carattini, Scott R. Klemmer, Patrick Mihelich, Jiang Hu, Andrew Y. Ng: groupTime: preference based group scheduling. CHI 2006: 1047-1056
69		Erick Delage, Honglak Lee, Andrew Y. Ng: A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image. CVPR (2) 2006: 2418-2428
68		Andrew Y. Ng: Reinforcement Learning and Apprenticeship Learning for Robotic Control. Discovery Science 2006: 14
67		Jenny Rose Finkel, Christopher D. Manning, Andrew Y. Ng: Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines. EMNLP 2006: 618-626
66		Pieter Abbeel, Morgan Quigley, Andrew Y. Ng: Using inaccurate models in reinforcement learning. ICML 2006: 1-8
65		Rajat Raina, Andrew Y. Ng, Daphne Koller: Constructing informative priors using transfer learning. ICML 2006: 713-720
64		Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, Andrew Y. Ng: Quadruped Robot Obstacle Negotiation via Reinforcement Learning. ICRA 2006: 3003-3010
63		Anna Petrovskaya, Oussama Khatib, Sebastian Thrun, Andrew Y. Ng: Bayesian Estimation for Autonomous Object Manipulation based on Tactile Sensors. ICRA 2006: 707-714
62		Filip Krsmanovic, Curtis Spencer, Daniel Jurafsky, Andrew Y. Ng: Have we met? MDP based speaker ID for robot dialogue. INTERSPEECH 2006
61		Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, Andrew Y. Ng: Learning to Grasp Novel Objects Using Vision. ISER 2006: 33-42
60		Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng: An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS 2006: 1-8
59		Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng: Robotic Grasping of Novel Objects. NIPS 2006: 1209-1216
58		Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun: Map-Reduce for Machine Learning on Multicore. NIPS 2006: 281-288
57		Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng: Efficient sparse coding algorithms. NIPS 2006: 801-808
56		Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. Ng, Dawson R. Engler: From Uncertainty to Belief: Inferring the Specification Within. OSDI 2006: 161-176
55		Einat Minkov, William W. Cohen, Andrew Y. Ng: Contextual search and name disambiguation in email using graphs. SIGIR 2006: 27-34
54		Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time and Sample Complexity. Journal of Machine Learning Research 7: 1743-1788 (2006)
	2005
53		Rajat Raina, Andrew Y. Ng, Christopher D. Manning: Robust Textual Inference Via Learning and Abductive Reasoning. AAAI 2005: 1099-1105
52		Honglak Lee, Andrew Y. Ng: Spam Deobfuscation using a Hidden Markov Model. CEAS 2005
51		Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng: Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. CVPR (2) 2005: 169-176
50		Masayoshi Matsuoka, Alan Chen, Surya P. N. Singh, Adam Coates, Andrew Y. Ng, Sebastian Thrun: Autonomous Helicopter Tracking and Localization Using a Self-Surveying Camera Array. FSR 2005: 19-30
49		Aria Haghighi, Andrew Y. Ng, Christopher D. Manning: Robust Textual Inference via Graph Matching. HLT/EMNLP 2005
48		Pieter Abbeel, Andrew Y. Ng: Exploration and apprenticeship learning in reinforcement learning. ICML 2005: 1-8
47		Jeff Michels, Ashutosh Saxena, Andrew Y. Ng: High speed obstacle avoidance using monocular vision and reinforcement learning. ICML 2005: 593-600
46		Erick Delage, Honglak Lee, Andrew Y. Ng: Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes. ISRR 2005: 305-321
45		Yirong Shen, Andrew Y. Ng, Matthias Seeger: Fast Gaussian Process Regression using KD-Trees. NIPS 2005
44		Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng: Learning Depth from Single Monocular Images. NIPS 2005
43		Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng: Learning vehicular dynamics, with application to modeling helicopters. NIPS 2005
42		J. Andrew Bagnell, Andrew Y. Ng: On Local Rewards and Scaling Distributed Reinforcement Learning. NIPS 2005
41		Chuong B. Do, Andrew Y. Ng: Transfer learning for text classification. NIPS 2005
40		Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun: Discriminative Training of Kalman Filters. Robotics: Science and Systems 2005: 289-296
39		Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9
38		David Heckerman, Tom Berson, Joshua Goodman, Andrew Y. Ng: The First Conference on E-mail and Anti-Spam. AI Magazine 26(1): 96 (2005)
	2004
37		Pieter Abbeel, Andrew Y. Ng: Apprenticeship learning via inverse reinforcement learning. ICML 2004
36		Kristina Toutanova, Christopher D. Manning, Andrew Y. Ng: Learning random walk models for inducing word dependency distributions. ICML 2004
35		Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng: Online and batch learning of pseudo-metrics. ICML 2004
34		Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang: Autonomous Inverted Helicopter Flight via Reinforcement Learning. ISER 2004: 363-372
33		Rion Snow, Daniel Jurafsky, Andrew Y. Ng: Learning Syntactic Patterns for Automatic Hypernym Discovery. NIPS 2004
32		Pieter Abbeel, Andrew Y. Ng: Learning first-order Markov models for control. NIPS 2004
31		Sham M. Kakade, Andrew Y. Ng: Online Bounds for Bayesian Algorithms. NIPS 2004
30		Andrew Y. Ng, H. Jin Kim: Stable adaptive control with online learning. NIPS 2004
29		Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte: Simultaneous Localization and Mapping with Sparse Extended Information Filters. I. J. Robotic Res. 23(7-8): 693-716 (2004)
	2003
28		Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, Shankar Sastry: Autonomous Helicopter Flight via Reinforcement Learning. NIPS 2003
27		Rajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum: Classification with Hybrid Generative/Discriminative Models. NIPS 2003
26		J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider: Policy Search by Dynamic Programming. NIPS 2003
25		David M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. Journal of Machine Learning Research 3: 993-1022 (2003)
	2002
24		Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell: Distance Metric Learning with Application to Clustering with Side-Information. NIPS 2002: 505-512
23		Susan T. Dumais, Michele Banko, Eric Brill, Jimmy J. Lin, Andrew Y. Ng: Web question answering: is more always better?. SIGIR 2002: 291-298
22		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng: A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. Machine Learning 49(2-3): 193-208 (2002)
	2001
21		Andrew Y. Ng, Michael I. Jordan: Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection. ICML 2001: 377-384
20		Andrew Y. Ng, Alice X. Zheng, Michael I. Jordan: Link Analysis, Eigenvectors and Stability. IJCAI 2001: 903-910
19		David M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. NIPS 2001: 601-608
18		Andrew Y. Ng, Michael I. Jordan: On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes. NIPS 2001: 841-848
17		Andrew Y. Ng, Michael I. Jordan, Yair Weiss: On Spectral Clustering: Analysis and an algorithm. NIPS 2001: 849-856
16		Alice X. Zheng, Andrew Y. Ng, Michael I. Jordan: Stable Algorithms for Link Analysis. SIGIR 2001: 258-266
15		Eric Brill, Jimmy J. Lin, Michele Banko, Susan T. Dumais, Andrew Y. Ng: Data-Intensive Question Answering. TREC 2001
	2000
14		Andrew Y. Ng, Stuart J. Russell: Algorithms for Inverse Reinforcement Learning. ICML 2000: 663-670
13		Andrew Y. Ng, Michael I. Jordan: PEGASUS: A policy search method for large MDPs and POMDPs. UAI 2000: 406-415
	1999
12		Andrew Y. Ng, Daishi Harada, Stuart J. Russell: Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping. ICML 1999: 278-287
11		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng: A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. IJCAI 1999: 1324-1231
10		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng: Approximate Planning in Large POMDPs via Reusable Trajectories. NIPS 1999: 1001-1007
9		Andrew Y. Ng, Ronald Parr, Daphne Koller: Policy Search via Density Estimation. NIPS 1999: 1022-1028
8		Andrew Y. Ng, Michael I. Jordan: Approximate Inference A lgorithms for Two-Layer Bayesian Networks. NIPS 1999: 533-539
	1998
7		Scott Davies, Andrew Y. Ng, Andrew W. Moore: Applying Online Search Techniques to Continuous-State Reinforcement Learning. AAAI/IAAI 1998: 753-760
6		Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng: Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998: 359-367
5		Andrew Y. Ng: On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples. ICML 1998: 404-412
	1997
4		Andrew Y. Ng: Preventing "Overfitting" of Cross-Validation Data. ICML 1997: 245-253
3		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng: An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. UAI 1997: 282-293
2		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron: An Experimental and Theoretical Comparison of Model Selection Methods. Machine Learning 27(1): 7-50 (1997)
	1995
1		Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron: An Experimental and Theoretical Comparison of Model Selection Methods. COLT 1995: 21-30

Coauthor Index

1	Pieter Abbeel	[32] [37] [39] [40] [43] [48] [54] [60] [66] [73] [78] [91] [92] [95] [101] [123] [124] [125]
2	Dragomir Anguelov	[51]
3	Joakim Arfvidsson	[84]
4	Alan T. Asbeck	[140]
5	Godmar Back	[56]
6	J. Andrew Bagnell (Drew Bagnell)	[26] [42]
7	Michele Banko	[15] [23]
8	Siddharth Batra	[112] [127]
9	Alexis Battle	[57] [85]
10	Paul Baumstarck	[84] [108]
11	Eric Berger	[34]
12	Tom Berson	[38]
13	Maneesh Bhand	[148]
14	Jeff A. Bilmes (Jeff Bilmes)	[122]
15	David M. Blei	[19] [25]
16	Gary R. Bradski	[58] [84]
17	Reuben D. Brewer	[128]
18	Eric Brill	[15] [23]
19	Mike Brzozowski	[70]
20	Kendra Carattini	[70]
21	Blake Carpenter	[132] [142] [149]
22	Carl Case	[141] [149]
23	Vassil Chatalbashev	[51]
24	Alan Chen	[50] [74]
25	Kai Chen	[139]
26	Zhenghao Chen	[126] [147] [148]
27	Daniel Jin hao Chia	[126]
28	Cheng-Tao Chu	[58]
29	Sukwon Chung	[84]
30	Sung H. Chung	[44] [89]
31	Adam Coates	[34] [40] [50] [60] [74] [91] [94] [95] [101] [108] [123] [125] [134] [136] [141] [143] [145] [149]
32	William W. Cohen	[55]
33	Greg Corrado	[139]
34	Raymond E. Daly	[152]
35	Scott Davies	[7]
36	Jeff Dean	[139]
37	Erick Delage	[46] [69]
38	Matthieu Devin	[139]
39	Mark Diel	[34]
40	Chuong B. Do	[41] [79] [120]
41	Dmitri Dolgov	[92]
42	Justin Driemeyer	[59] [61] [90] [111]
43	Charles DuHadway	[94]
44	Susan T. Dumais	[15] [23]
45	Hugh F. Durrant-Whyte	[29]
46	Chaitanya Ekanadham	[77]
47	Dawson R. Engler	[56] [81]
48	Jenny Rose Finkel	[67]
49	Chuan-Sheng Foo	[79] [120]
50	Varun Ganapathi	[34] [43] [142]
51	Zoubin Ghahramani	[29]
52	Ian J. Goodfellow	[106]
53	Joshua Goodman (Joshua T. Goodman)	[38]
54	Stephen Gould	[84] [112]
55	Roger Grosse	[75] [117] [138]
56	Yi Gu	[94]
57	Dinkar Gupta	[51]
58	Aria Haghighi	[49]
59	Daishi Harada	[12]
60	David Heckerman	[38]
61	Geremy Heitz	[51]
62	Kaijen Hsiao	[113]
63	Jiang Hu	[70]
64	Dan Huang	[152]
65	Eric H. Huang	[150]
66	Manfred Huber	[113]
67	Timothy Hunter	[91]
68	David T. Jackson	[131]
69	Michael I. Jordan	[8] [13] [16] [17] [18] [19] [20] [21] [24] [25] [28]
70	Daniel Jurafsky (Dan Jurafsky)	[33] [62] [72] [88] [96]
71	Adrian Kaehler	[84]
72	Sham M. Kakade (Sham Kakade)	[26] [31]
73	David Kamm	[133]
74	A. F. Kara	[133]
75	Justin Kearns	[59] [61]
76	Michael Kearns (Michael J. Kearns, Michael S. Kearns)	[1] [2] [3] [10] [11] [22]
77	Oussama Khatib	[63] [142]
78	Aditya Khosla	[144]
79	H. Jin Kim	[28] [30]
80	Mingyu Kim	[144]
81	Sang Kyun Kim	[58]
82	Youngjun Kim	[116]
83	Scott R. Klemmer	[70]
84	Ellen Klingbeil	[112] [129] [132] [142]
85	Pang Wei Koh	[126] [147] [148]
86	Daphne Koller	[9] [29] [39] [51] [54] [65]
87	J. Zico Kolter (Jeremy Z. Kolter)	[76] [78] [93] [94] [105] [115] [116] [118] [119] [127] [131] [137]
88	Ted Kremenek	[56] [81]
89	Filip Krsmanovic	[62]
90	Helen Kwong	[75]
91	Ahbik Lahiri	[145]
92	Yan Largman	[107]
93	Quoc V. Le (Quoc Viet Le)	[106] [108] [109] [112] [126] [128] [130] [133] [139] [145] [151]
94	Honglak Lee	[46] [52] [57] [64] [69] [73] [77] [85] [106] [107] [110] [117] [136] [138] [144]
95	Su-In Lee	[73]
96	Eric Liang	[34]
97	Cliff Chiung-Yu Lin	[146]
98	Jimmy J. Lin	[15] [23]
99	Yi-An Lin	[58]
100	Yufeng Liu	[29]
101	Andrew L. Maas	[152]
102	Anand Madhavan	[121]
103	Christopher D. Manning	[36] [49] [53] [67] [146] [150]
104	Yishay Mansour	[1] [2] [3] [10] [11] [22]
105	Masayoshi Matsuoka	[50] [74]
106	Andrew McCallum	[6] [27]
107	Marius Messner	[84]
108	Jeff Michels	[47]
109	Patrick Mihelich	[70]
110	Einat Minkov	[55]
111	Tom M. Mitchell	[6]
112	Rajat Monga	[139]
113	Michael Montemerlo	[40]
114	Andrew W. Moore	[7]
115	Juhan Nam	[144]
116	Paul Nangeroni	[113]
117	Jiquan Ngiam	[126] [144] [145] [147]
118	Brendan O'Connor	[96]
119	Kunle Olukotun (Oyekunle A. Olukotun)	[58]
120	Chioma Osondu	[61]
121	Benjamin Packer	[85]
122	Ronald Parr	[9]
123	Jeffrey Pennington	[150]
124	Jan Peters	[102] [103]
125	Anna Petrovskaya	[63] [83]
126	Peter T. Pham	[107] [152]
127	Thanathorn Phoka	[130]
128	Christian Plagemann	[131]
129	Christopher Potts	[152]
130	Vijay Pradeep	[128]
131	Sushant Prakash	[88]
132	Bobby Prochnow	[145]
133	Morgan Quigley	[60] [66] [80] [112] [128] [130] [140]
134	Rajat Raina	[27] [53] [57] [65] [75] [85] [110] [121]
135	Rajesh Ranganath	[117] [138]
136	Marc'Aurelio Ranzato	[139]
137	Deepak Rao	[130] [142]
138	Mike P. Rodgers	[93]
139	Dana Ron	[1] [2]
140	Ronald Rosenfeld (Roni Rosenfeld)	[6]
141	Olga Russakovsky	[132] [135]
142	Stuart J. Russell	[12] [14] [24]
143	Benjamin Sapp	[84] [99]
144	Shankar Sastry (Shankar S. Sastry)	[28]
145	Sanjeev Satheesh	[149]
146	Andrew M. Saxe	[106] [148]
147	Ashutosh Saxena	[44] [47] [59] [61] [80] [82] [86] [87] [89] [90] [97] [98] [99] [100] [104] [111] [113] [114] [129]
148	Jeff G. Schneider	[26]
149	Jamie Schulte	[34] [82]
150	Matthias W. Seeger (Matthias Seeger)	[45]
151	Shai Shalev-Shwartz	[35]
152	Yirong Shen	[27] [45] [64]
153	Yoram Singer	[35]
154	Gurjeet Singh	[64]
155	Surya P. N. Singh	[50] [74]
156	Rion Snow	[33] [72] [88] [96]
157	Richard Socher	[146] [150]
158	Sai Prashanth Soundararaj	[128]
159	Curtis Spencer	[62]
160	Savil Srivastava	[104]
161	Attawith Sudsang	[130]
162	Min Sun	[86] [87] [97] [100]
163	Bipin Suresh	[141] [148] [149]
164	Benjamin Taskar (Ben Taskar)	[51]
165	Alex Teichman	[110]
166	Christian Theobalt	[104]
167	Sebastian Thrun	[29] [40] [50] [63] [74] [92] [104] [131]
168	Kristina Toutanova	[36]
169	Ben Tse	[34]
170	Paul Twohey	[56]
171	Tao Wang	[149]
172	Yair Weiss	[17]
173	Ashley Wellman	[112]
174	Lawson L. S. Wong	[80] [98]
175	David J. Wu	[149]
176	Eric P. Xing	[24]
177	Serena Y. Yeung	[151]
178	Chih-Han Yu	[64]
179	YuanYuan Yu	[58]
180	Alice X. Zheng	[16] [20]
181	Will Y. Zou	[151]

Colors in the list of coauthors

Last update Sun Feb 12 22:50:56 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page