Andrew Y. Ng

According to our database1, Andrew Y. Ng authored at least 214 papers between 1995 and 2018.

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Bibliography

2018
Countdown Regression: Sharp and Calibrated Survival Predictions.
CoRR, 2018

Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Autonomous Helicopter Flight Using Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Inverse Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones.
IMWUT, 2017

Building DNN acoustic models for large vocabulary speech recognition.
Computer Speech & Language, 2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs.
CoRR, 2017

Improving Palliative Care with Deep Learning.
CoRR, 2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.
CoRR, 2017

Data Noising as Smoothing in Neural Network Language Models.
CoRR, 2017

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.
CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.
Proceedings of the 34th International Conference on Machine Learning, 2017

Improving palliative care with deep learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
IEEE Trans. Med. Imaging, 2016

Neural Language Correction with Character-Based Attention.
CoRR, 2016

Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices.
CoRR, 2016


End-to-End People Detection in Crowded Scenes.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Learning: What's Next.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving.
CoRR, 2015

An Empirical Evaluation of Deep Learning on Highway Driving.
CoRR, 2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR, 2015

Lexicon-Free Conversational Speech Recognition with Neural Networks.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Ubiquity, 2014

Grounded Compositional Semantics for Finding and Describing Images with Sentences.
TACL, 2014

Mechatronic design of an integrated robotic hand.
I. J. Robotics Res., 2014

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition.
CoRR, 2014

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs.
CoRR, 2014

Deep Speech: Scaling up end-to-end speech recognition.
CoRR, 2014

2013
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
CoRR, 2013

PEGASUS: A Policy Search Method for Large MDPs and POMDPs
CoRR, 2013

Zero-Shot Learning Through Cross-Modal Transfer
CoRR, 2013

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
CoRR, 2013

Tuned Models of Peer Assessment in MOOCs.
CoRR, 2013

Deep learning for class-generic object detection.
CoRR, 2013

Zero-Shot Learning Through Cross-Modal Transfer.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Reasoning With Neural Tensor Networks for Knowledge Base Completion.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

The online revolution: education for everyone.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Deep learning with COTS HPC systems.
Proceedings of the 30th International Conference on Machine Learning, 2013

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Tuned Models of Peer Assessment in MOOCs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

The online revolution: education for everyone.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parsing with Compositional Vector Grammars.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Learning Feature Representations with K-Means.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Learning Factor Graphs in Polynomial Time & Sample Complexity
CoRR, 2012

Shift-Invariance Sparse Coding for Audio Classification
CoRR, 2012

Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
CoRR, 2012

Deep Learning of Invariant Features via Simulated Fixations in Video.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Convolutional-Recursive Deep Learning for 3D Object Classification.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Large Scale Distributed Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Emergence of Object-Selective Features in Unsupervised Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Recurrent Neural Networks for Noise Reduction in Robust ASR.
Proceedings of the INTERSPEECH 2012, 2012

End-to-end text recognition with convolutional neural networks.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Building high-level features using large scale unsupervised learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Semantic Compositionality through Recursive Matrix-Vector Spaces.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Improving Word Representations via Global Context and Multiple Word Prototypes.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion.
I. J. Robotics Res., 2011

Building high-level features using large scale unsupervised learning
CoRR, 2011

Unsupervised learning of hierarchical representations with convolutional deep belief networks.
Commun. ACM, 2011

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Unsupervised learning models of primary cortical receptive fields and receptive field plasticity.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse Filtering.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Selecting Receptive Fields in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A low-cost compliant 7-DOF robotic manipulator.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Grasping with application to an autonomous checkout robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Autonomous sign reading for semantic mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Parsing Natural Scenes and Natural Language with Recursive Neural Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011

On Random Weights and Unsupervised Feature Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Multimodal Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning Deep Energy Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

On optimization methods for deep learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization.
Proceedings of the 28th International Conference on Machine Learning, 2011

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning Word Vectors for Sentiment Analysis.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Autonomous Helicopter Flight Using Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Inverse Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Autonomous Helicopter Aerobatics through Apprenticeship Learning.
I. J. Robotics Res., 2010

Tiled convolutional neural networks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Energy Disaggregation via Discriminative Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Grasping novel objects with depth segmentation.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Low-cost accelerometers for robotic manipulator perception.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning to open new doors.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning to grasp objects with multiple contact points.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Autonomous operation of novel elevators for robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Multi-camera object detection for robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A Steiner tree approach to efficient object detection.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Low-Cost Manipulation Powered by ROS.
Proceedings of the Enabling Intelligence through Middleware, 2010

2009
Make3D: Learning 3D Scene Structure from a Single Still Image.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Apprenticeship learning for helicopter control.
Commun. ACM, 2009

Guest editorial: Special issue on robot learning, Part B.
Auton. Robots, 2009

Guest editorial: Special issue on robot learning, Part A.
Auton. Robots, 2009

i23 - Rapid Interactive 3D Reconstruction from a Single Image.
Proceedings of the Vision, 2009

Policy search via the signed derivative.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Unsupervised feature learning for audio classification using convolutional deep belief networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Measuring Invariances in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Joint calibration of multiple sensors.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Scalable learning for object detection with GPU hardware.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Exponential Family Sparse Coding with Application to Self-taught Learning.
Proceedings of the IJCAI 2009, 2009

Learning sound location from a single microphone.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Learning 3-D object orientation from images.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Task-space trajectories via cubic spline optimization.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Stereo vision and terrain modeling for quadruped robots.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Reactive grasping using optical proximity sensors.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Large-scale deep unsupervised learning using graphics processors.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Regularization and feature selection in least-squares temporal difference learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Near-Bayesian exploration in polynomial time.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A majorization-minimization algorithm for (multiple) hyperparameter learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Robotic Grasping of Novel Objects using Vision.
I. J. Robotics Res., 2008

3-D Depth Reconstruction from a Single Still Image.
International Journal of Computer Vision, 2008

Autonomous Autorotation of an RC Helicopter.
Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

Apprenticeship learning for motion planning with application to parking lot navigation.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

A control architecture for quadruped locomotion over rough terrain.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Space-indexed dynamic programming: learning to follow trajectories.
Proceedings of the Machine Learning, 2008

Learning for control from multiple demonstrations.
Proceedings of the Machine Learning, 2008

Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Grasp Strategies with Partial Shape Information.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Make3D: Depth Perception from a Single Still Image.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

A Fast Data Collection and Augmentation Procedure for Object Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array.
I. J. Robotics Res., 2007

Shift-Invariance Sparse Coding for Audio Classification.
Proceedings of the UAI 2007, 2007

Learning omnidirectional path following using dimensionality reduction.
Proceedings of the Robotics: Science and Systems III, 2007

Sparse deep belief net model for visual area V2.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Efficient multiple hyperparameter learning for log-linear models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Vision-Based System for Grasping Novel Objects in Cluttered Environments.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

Depth Estimation Using Monocular and Stereo Cues.
Proceedings of the IJCAI 2007, 2007

Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors.
Proceedings of the IJCAI 2007, 2007

A Factor Graph Model for Software Bug Finding.
Proceedings of the IJCAI 2007, 2007

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video.
Proceedings of the IJCAI 2007, 2007

Self-taught learning: transfer learning from unlabeled data.
Proceedings of the Machine Learning, 2007

3-D Reconstruction from Sparse Views using Monocular Vision.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning 3-D Scene Structure from a Single Still Image.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning to Merge Word Senses.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Learning Factor Graphs in Polynomial Time and Sample Complexity.
Journal of Machine Learning Research, 2006

Contextual search and name disambiguation in email using graphs.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

From Uncertainty to Belief: Inferring the Specification Within.
Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI '06), 2006

Robotic Grasping of Novel Objects.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient sparse coding algorithms.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Map-Reduce for Machine Learning on Multicore.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An Application of Reinforcement Learning to Aerobatic Helicopter Flight.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning to Grasp Novel Objects Using Vision.
Proceedings of the Experimental Robotics, 2006

Have we met? MDP based speaker ID for robot dialogue.
Proceedings of the INTERSPEECH 2006, 2006

Bayesian Estimation for Autonomous Object Manipulation based on Tactile Sensors.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Quadruped Robot Obstacle Negotiation via Reinforcement Learning.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Constructing informative priors using transfer learning.
Proceedings of the Machine Learning, 2006

Using inaccurate models in reinforcement learning.
Proceedings of the Machine Learning, 2006

Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines.
Proceedings of the EMNLP 2006, 2006

Reinforcement Learning and Apprenticeship Learning for Robotic Control.
Proceedings of the Discovery Science, 9th International Conference, 2006

A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

groupTime: preference based group scheduling.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

Reinforcement Learning and Apprenticeship Learning for Robotic Control.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

Semantic Taxonomy Induction from Heterogenous Evidence.
Proceedings of the ACL 2006, 2006

Efficient L1 Regularized Logistic Regression.
Proceedings of the Proceedings, 2006

2005
The First Conference on E-mail and Anti-Spam.
AI Magazine, 2005

Learning Factor Graphs in Polynomial Time & Sample Complexity.
Proceedings of the UAI '05, 2005

Discriminative Training of Kalman Filters.
Proceedings of the Robotics: Science and Systems I, 2005

Fast Gaussian Process Regression using KD-Trees.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Depth from Single Monocular Images.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Transfer learning for text classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

On Local Rewards and Scaling Distributed Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning vehicular dynamics, with application to modeling helicopters.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Robust Textual Inference via Graph Matching.
Proceedings of the HLT/EMNLP 2005, 2005

Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

High speed obstacle avoidance using monocular vision and reinforcement learning.
Proceedings of the Machine Learning, 2005

Exploration and apprenticeship learning in reinforcement learning.
Proceedings of the Machine Learning, 2005

Autonomous Helicopter Tracking and Localization Using a Self-Surveying Camera Array.
Proceedings of the Field and Service Robotics, Results of the 5th International Conference, 2005

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Spam Deobfuscation using a Hidden Markov Model.
Proceedings of the CEAS 2005, 2005

Robust Textual Inference Via Learning and Abductive Reasoning.
Proceedings of the Proceedings, 2005

2004
Simultaneous Localization and Mapping with Sparse Extended Information Filters.
I. J. Robotics Res., 2004

Learning Syntactic Patterns for Automatic Hypernym Discovery.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Stable adaptive control with online learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Online Bounds for Bayesian Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning first-order Markov models for control.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Autonomous Inverted Helicopter Flight via Reinforcement Learning.
Proceedings of the Experimental Robotics IX, 2004

Learning random walk models for inducing word dependency distributions.
Proceedings of the Machine Learning, 2004

Online and batch learning of pseudo-metrics.
Proceedings of the Machine Learning, 2004

Apprenticeship learning via inverse reinforcement learning.
Proceedings of the Machine Learning, 2004

2003
Latent Dirichlet Allocation.
Journal of Machine Learning Research, 2003

Classification with Hybrid Generative/Discriminative Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Autonomous Helicopter Flight via Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Policy Search by Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.
Machine Learning, 2002

Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results.
Proceedings of the Algorithmic Foundations of Robotics V, 2002

Web question answering: is more always better?.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Distance Metric Learning with Application to Clustering with Side-Information.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Data-Intensive Question Answering.
Proceedings of The Tenth Text REtrieval Conference, 2001

Stable Algorithms for Link Analysis.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

On Spectral Clustering: Analysis and an algorithm.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Latent Dirichlet Allocation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Link Analysis, Eigenvectors and Stability.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
PEGASUS: A policy search method for large MDPs and POMDPs.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Algorithms for Inverse Reinforcement Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Policy Search via Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Approximate Inference A lgorithms for Two-Layer Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Approximate Planning in Large POMDPs via Reusable Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Improving Text Classification by Shrinkage in a Hierarchy of Classes.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Applying Online Search Techniques to Continuous-State Reinforcement Learning.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
An Experimental and Theoretical Comparison of Model Selection Methods.
Machine Learning, 1997

An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Preventing "Overfitting" of Cross-Validation Data.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1995
An Experimental and Theoretical Comparison of Model Selection Methods.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995


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