Andrew Y. Ng

	2009
102		Rajat Raina, Anand Madhavan, Andrew Y. Ng: Large-scale deep unsupervised learning using graphics processors. ICML 2009: 110
101		Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng: A majorization-minimization algorithm for (multiple) hyperparameter learning. ICML 2009: 41
100		J. Zico Kolter, Andrew Y. Ng: Near-Bayesian exploration in polynomial time. ICML 2009: 65
99		J. Zico Kolter, Andrew Y. Ng: Regularization and feature selection in least-squares temporal difference learning. ICML 2009: 66
98		Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. ICML 2009: 77
97		Honglak Lee, Rajat Raina, Alex Teichman, Andrew Y. Ng: Exponential Family Sparse Coding with Application to Self-taught Learning. IJCAI 2009: 1113-1119
96		Jan Peters, Andrew Y. Ng: Guest editorial: Special issue on robot learning, Part A. Auton. Robots 27(1): 1-2 (2009)
95		Adam Coates, Pieter Abbeel, Andrew Y. Ng: Apprenticeship learning for helicopter control. Commun. ACM 52(7): 97-105 (2009)
94		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
93		Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng: A Fast Data Collection and Augmentation Procedure for Object Recognition. AAAI 2008: 1402-1408
92		Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng: Learning Grasp Strategies with Partial Shape Information. AAAI 2008: 1491-1494
91		Ashutosh Saxena, Min Sun, Andrew Y. Ng: Make3D: Depth Perception from a Single Still Image. AAAI 2008: 1571-1576
90		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
89		Adam Coates, Pieter Abbeel, Andrew Y. Ng: Learning for control from multiple demonstrations. ICML 2008: 144-151
88		J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway: Space-indexed dynamic programming: learning to follow trajectories. ICML 2008: 488-495
87		J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng: A control architecture for quadruped locomotion over rough terrain. ICRA 2008: 811-818
86		Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebastian Thrun: Apprenticeship learning for motion planning with application to parking lot navigation. IROS 2008: 1083-1090
85		Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng: Autonomous Autorotation of an RC Helicopter. ISER 2008: 385-394
84		Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng: Robotic Grasping of Novel Objects using Vision. I. J. Robotic Res. 27(2): 157-173 (2008)
83		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
82		Ashutosh Saxena, Min Sun, Andrew Y. Ng: 3-D Reconstruction from Sparse Views using Monocular Vision. ICCV 2007: 1-8
81		Ashutosh Saxena, Min Sun, Andrew Y. Ng: Learning 3-D Scene Structure from a Single Still Image. ICCV 2007: 1-8
80		Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng: Self-taught learning: transfer learning from unlabeled data. ICML 2007: 759-766
79		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
78		Anna Petrovskaya, Andrew Y. Ng: Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors. IJCAI 2007: 2178-2184
77		Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng: Depth Estimation Using Monocular and Stereo Cues. IJCAI 2007: 2197-2203
76		Ted Kremenek, Andrew Y. Ng, Dawson R. Engler: A Factor Graph Model for Software Bug Finding. IJCAI 2007: 2510-2516
75		Chuong B. Do, Chuan-Sheng Foo, Andrew Y. Ng: Efficient multiple hyperparameter learning for log-linear models. NIPS 2007
74		J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion. NIPS 2007
73		Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng: Sparse deep belief net model for visual area V2. NIPS 2007
72		J. Zico Kolter, Andrew Y. Ng: Learning omnidirectional path following using dimensionality reduction. Robotics: Science and Systems 2007
71		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
70		Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng: Efficient L1 Regularized Logistic Regression. AAAI 2006
69		Rion Snow, Daniel Jurafsky, Andrew Y. Ng: Semantic Taxonomy Induction from Heterogenous Evidence. ACL 2006
68		Andrew Y. Ng: Reinforcement Learning and Apprenticeship Learning for Robotic Control. ALT 2006: 29-31
67		Mike Brzozowski, Kendra Carattini, Scott R. Klemmer, Patrick Mihelich, Jiang Hu, Andrew Y. Ng: groupTime: preference based group scheduling. CHI 2006: 1047-1056
66		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
65		Andrew Y. Ng: Reinforcement Learning and Apprenticeship Learning for Robotic Control. Discovery Science 2006: 14
64		Pieter Abbeel, Morgan Quigley, Andrew Y. Ng: Using inaccurate models in reinforcement learning. ICML 2006: 1-8
63		Rajat Raina, Andrew Y. Ng, Daphne Koller: Constructing informative priors using transfer learning. ICML 2006: 713-720
62		Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, Andrew Y. Ng: Quadruped Robot Obstacle Negotiation via Reinforcement Learning. ICRA 2006: 3003-3010
61		Anna Petrovskaya, Oussama Khatib, Sebastian Thrun, Andrew Y. Ng: Bayesian Estimation for Autonomous Object Manipulation based on Tactile Sensors. ICRA 2006: 707-714
60		Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, Andrew Y. Ng: Learning to Grasp Novel Objects Using Vision. ISER 2006: 33-42
59		Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng: An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS 2006: 1-8
58		Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng: Robotic Grasping of Novel Objects. NIPS 2006: 1209-1216
57		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
56		Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng: Efficient sparse coding algorithms. NIPS 2006: 801-808
55		Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. Ng, Dawson R. Engler: From Uncertainty to Belief: Inferring the Specification Within. OSDI 2006: 161-176
54		Einat Minkov, William W. Cohen, Andrew Y. Ng: Contextual search and name disambiguation in email using graphs. SIGIR 2006: 27-34
53		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
52		Rajat Raina, Andrew Y. Ng, Christopher D. Manning: Robust Textual Inference Via Learning and Abductive Reasoning. AAAI 2005: 1099-1105
51		Honglak Lee, Andrew Y. Ng: Spam Deobfuscation using a Hidden Markov Model. CEAS 2005
50		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
49		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
48		Aria Haghighi, Andrew Y. Ng, Christopher D. Manning: Robust Textual Inference via Graph Matching. HLT/EMNLP 2005
47		Pieter Abbeel, Andrew Y. Ng: Exploration and apprenticeship learning in reinforcement learning. ICML 2005: 1-8
46		Jeff Michels, Ashutosh Saxena, Andrew Y. Ng: High speed obstacle avoidance using monocular vision and reinforcement learning. ICML 2005: 593-600
45		Erick Delage, Honglak Lee, Andrew Y. Ng: Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes. ISRR 2005: 305-321
44		Yirong Shen, Andrew Y. Ng, Matthias Seeger: Fast Gaussian Process Regression using KD-Trees. NIPS 2005
43		Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng: Learning Depth from Single Monocular Images. NIPS 2005
42		Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng: Learning vehicular dynamics, with application to modeling helicopters. NIPS 2005
41		J. Andrew Bagnell, Andrew Y. Ng: On Local Rewards and Scaling Distributed Reinforcement Learning. NIPS 2005
40		Chuong B. Do, Andrew Y. Ng: Transfer learning for text classification. NIPS 2005
39		Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun: Discriminative Training of Kalman Filters. Robotics: Science and Systems 2005: 289-296
38		Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9
	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] [38] [39] [42] [47] [53] [59] [64] [70] [74] [85] [86] [89] [95]
2	Dragomir Anguelov	[50]
3	Joakim Arfvidsson	[79]
4	Godmar Back	[55]
5	J. Andrew Bagnell (Drew Bagnell)	[26] [41]
6	Michele Banko	[15] [23]
7	Alexis Battle	[56] [80]
8	Paul Baumstarck	[79]
9	Eric Berger	[34]
10	David M. Blei	[19] [25]
11	Gary R. Bradski	[57] [79]
12	Eric Brill	[15] [23]
13	Mike Brzozowski	[67]
14	Kendra Carattini	[67]
15	Vassil Chatalbashev	[50]
16	Alan Chen	[49] [71]
17	Cheng-Tao Chu	[57]
18	Sukwon Chung	[79]
19	Sung H. Chung	[43] [83]
20	Adam Coates	[34] [39] [49] [59] [71] [85] [88] [89] [95]
21	William W. Cohen	[54]
22	Scott Davies	[7]
23	Erick Delage	[45] [66]
24	Mark Diel	[34]
25	Chuong B. Do	[40] [75] [101]
26	Dmitri Dolgov	[86]
27	Justin Driemeyer	[58] [60] [84]
28	Charles DuHadway	[88]
29	Susan T. Dumais	[15] [23]
30	Hugh F. Durrant-Whyte	[29]
31	Chaitanya Ekanadham	[73]
32	Dawson R. Engler	[55] [76]
33	Chuan-Sheng Foo	[75] [101]
34	Varun Ganapathi	[34] [42]
35	Zoubin Ghahramani	[29]
36	Stephen Gould	[79]
37	Roger Grosse	[98]
38	Yi Gu	[88]
39	Dinkar Gupta	[50]
40	Aria Haghighi	[48]
41	Daishi Harada	[12]
42	Geremy Heitz	[50]
43	Jiang Hu	[67]
44	Timothy Hunter	[85]
45	Michael I. Jordan	[8] [13] [16] [17] [18] [19] [20] [21] [24] [25] [28]
46	Daniel Jurafsky	[33] [69] [90]
47	Adrian Kaehler	[79]
48	Sham M. Kakade (Sham Kakade)	[26] [31]
49	Justin Kearns	[58] [60]
50	Michael J. Kearns	[1] [2] [3] [10] [11] [22]
51	Oussama Khatib	[61]
52	H. Jin Kim	[28] [30]
53	Sang Kyun Kim	[57]
54	Scott R. Klemmer	[67]
55	Daphne Koller	[9] [29] [38] [50] [53] [63]
56	J. Zico Kolter	[72] [74] [87] [88] [99] [100]
57	Ted Kremenek	[55] [76]
58	Honglak Lee	[45] [51] [56] [62] [66] [70] [73] [80] [97] [98]
59	Su-In Lee	[70]
60	Eric Liang	[34]
61	Jimmy J. Lin	[15] [23]
62	Yi-An Lin	[57]
63	Yufeng Liu	[29]
64	Anand Madhavan	[102]
65	Christopher D. Manning	[36] [48] [52]
66	Yishay Mansour	[1] [2] [3] [10] [11] [22]
67	Masayoshi Matsuoka	[49] [71]
68	Andrew McCallum	[6] [27]
69	Marius Messner	[79]
70	Jeff Michels	[46]
71	Patrick Mihelich	[67]
72	Einat Minkov	[54]
73	Tom M. Mitchell	[6]
74	Michael Montemerlo	[39]
75	Andrew W. Moore	[7]
76	Brendan O'Connor	[90]
77	Kunle Olukotun (Oyekunle A. Olukotun)	[57]
78	Chioma Osondu	[60]
79	Benjamin Packer	[80]
80	Ronald Parr	[9]
81	Jan Peters	[96]
82	Anna Petrovskaya	[61] [78]
83	Morgan Quigley	[59] [64]
84	Rajat Raina	[27] [52] [56] [63] [80] [97] [102]
85	Rajesh Ranganath	[98]
86	Mike P. Rodgers	[87]
87	Dana Ron	[1] [2]
88	Ronald Rosenfeld (Roni Rosenfeld)	[6]
89	Stuart J. Russell	[12] [14] [24]
90	Benjamin Sapp	[79] [93]
91	Shankar Sastry (Shankar S. Sastry)	[28]
92	Ashutosh Saxena	[43] [46] [58] [60] [77] [81] [82] [83] [84] [91] [92] [93] [94]
93	Jeff G. Schneider	[26]
94	Jamie Schulte	[34] [77]
95	Matthias Seeger	[44]
96	Shai Shalev-Shwartz	[35]
97	Yirong Shen	[27] [44] [62]
98	Yoram Singer	[35]
99	Gurjeet Singh	[62]
100	Surya P. N. Singh	[49] [71]
101	Rion Snow	[33] [69] [90]
102	Min Sun	[81] [82] [91] [94]
103	Benjamin Taskar (Ben Taskar)	[50]
104	Alex Teichman	[97]
105	Sebastian Thrun	[29] [39] [49] [61] [71] [86]
106	Kristina Toutanova	[36]
107	Ben Tse	[34]
108	Paul Twohey	[55]
109	Yair Weiss	[17]
110	Lawson L. S. Wong	[92]
111	Eric P. Xing	[24]
112	Chih-Han Yu	[62]
113	YuanYuan Yu	[57]
114	Alice X. Zheng	[16] [20]

Colors in the list of coauthors