Jeff G. Schneider

According to our database1, Jeff G. Schneider authored at least 124 papers between 1993 and 2017.

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Bibliography

2017
Estimating Cosmological Parameters from the Dark Matter Distribution.
CoRR, 2017

Equivariance Through Parameter-Sharing.
CoRR, 2017

The Statistical Recurrent Unit.
CoRR, 2017

Recurrent Estimation of Distributions.
CoRR, 2017

Asynchronous Parallel Bayesian Optimisation via Thompson Sampling.
CoRR, 2017

Query efficient posterior estimation in scientific experiments via Bayesian active learning.
Artif. Intell., 2017

Equivariance Through Parameter-Sharing.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Statistical Recurrent Unit.
Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-fidelity Bayesian Optimisation with Continuous Approximations.
Proceedings of the 34th International Conference on Machine Learning, 2017

Active Optimization and Self Driving Cars.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Active Search for Sparse Signals with Region Sensing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Deep Learning with Sets and Point Clouds.
CoRR, 2016

Stochastic Neural Networks with Monotonic Activation Functions.
CoRR, 2016

Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.
CoRR, 2016

Active Search for Sparse Signals with Region Sensing.
CoRR, 2016

The Multi-fidelity Multi-armed Bandit.
CoRR, 2016

Multi-fidelity Gaussian Process Bandit Optimisation.
CoRR, 2016

The Multi-fidelity Multi-armed Bandit.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Estimating Cosmological Parameters from the Dark Matter Distribution.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Stochastic Neural Networks with Monotonic Activation Functions.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bayesian Nonparametric Kernel-Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Linear-Time Learning on Distributions with Approximate Kernel Embeddings.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Error of Random Fourier Features.
CoRR, 2015

Linear-time Learning on Distributions with Approximate Kernel Embeddings.
CoRR, 2015

Deep Mean Maps.
CoRR, 2015

High Dimensional Bayesian Optimisation and Bandits via Additive Models.
CoRR, 2015

Generalization Bounds for Transfer Learning under Model Shift.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

On the Error of Random Fourier Features.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Active Search and Bandits on Graphs using Sigma-Optimality.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Bayesian Active Learning for Posterior Estimation - IJCAI-15 Distinguished Paper.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

High Dimensional Bayesian Optimisation and Bandits via Additive Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Finding Galaxies in the Shadows of Quasars with Gaussian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Statistical Learning in Chip (SLIC).
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Fast Function to Function Regression.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Active Pointillistic Pattern Search.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Fast Function to Function Regression.
CoRR, 2014

Learning from Point Sets with Observational Bias.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Flexible Transfer Learning under Support and Model Shift.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

SLIC: Statistical learning in chip.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Systematic Labeling Bias: De-biasing Where Everyone is Wrong.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Active Transfer Learning under Model Shift.
Proceedings of the 31th International Conference on Machine Learning, 2014

FuSSO: Functional Shrinkage and Selection Operator.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Fast Distribution To Real Regression.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Active Area Search via Bayesian Quadrature.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes
CoRR, 2013

FuSSO: Functional Shrinkage and Selection Operator.
CoRR, 2013

Fast Distribution To Real Regression.
CoRR, 2013

Σ-Optimality for Active Learning on Gaussian Random Fields.
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

Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition.
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

Active search on graphs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active learning and search on low-rank matrices.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Expensive multiobjective optimization for robotics.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Expensive Function Optimization with Stochastic Binary Outcomes.
Proceedings of the 30th International Conference on Machine Learning, 2013

Distribution to Distribution Regression.
Proceedings of the 30th International Conference on Machine Learning, 2013

Spectral Learning of Hidden Markov Models from Dynamic and Static Data.
Proceedings of the 30th International Conference on Machine Learning, 2013

Efficient Learning on Point Sets.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
A Composite Likelihood View for Multi-Label Classification.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Nonparametric Estimation of Conditional Information and Divergences.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields
CoRR, 2012

Copula-based Kernel Dependency Measures
CoRR, 2012

Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions
CoRR, 2012

Support Distribution Machines
CoRR, 2012

Protein subcellular location pattern classification in cellular images using latent discriminative models.
Bioinformatics, 2012

Learning Bi-clustered Vector Autoregressive Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Maximum Margin Output Coding.
Proceedings of the 29th International Conference on Machine Learning, 2012

Copula-based Kernel Dependency Measures.
Proceedings of the 29th International Conference on Machine Learning, 2012

Bayesian Optimal Active Search and Surveying.
Proceedings of the 29th International Conference on Machine Learning, 2012

Nonparametric kernel estimators for image classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Multi-Label Output Codes using Canonical Correlation Analysis.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Hierarchical Probabilistic Models for Group Anomaly Detection.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On the Estimation of alpha-Divergences.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions.
Proceedings of the UAI 2011, 2011

Group Anomaly Detection using Flexible Genre Models.
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

Learning Auto-regressive Models from Sequence and Non-sequence Data.
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

Using response surfaces and expected improvement to optimize snake robot gait parameters.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Adapting control policies for expensive systems to changing environments.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Direct Robust Matrix Factorizatoin for Anomaly Detection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Nonparametric divergence estimators for independent subspace analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Learning Nonlinear Dynamic Models from Non-sequenced Data.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Compressible Models.
Proceedings of the SIAM International Conference on Data Mining, 2010

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization.
Proceedings of the SIAM International Conference on Data Mining, 2010

A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Learning Multiple Tasks with a Sparse Matrix-Normal Penalty.
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

Projection Penalties: Dimension Reduction without Loss.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Efficiently learning the accuracy of labeling sources for selective sampling.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Learning linear dynamical systems without sequence information.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Anomaly pattern detection in categorical datasets.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Actively learning level-sets of composite functions.
Proceedings of the Machine Learning, 2008

Learning Detectors of Events in Multivariate Time Series.
Proceedings of the AMIA 2008, 2008

2007
Detecting anomalous records in categorical datasets.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Efficiently computing minimax expected-size confidence regions.
Proceedings of the Machine Learning, 2007

A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data.
Proceedings of the Intelligence and Security Informatics: Biosurveillance, 2007

2005
Active Learning For Identifying Function Threshold Boundaries.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Opportunity Costs in Multi-Robot Market Based Planners.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Game Theoretic Control for Robot Teams.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004
Automatic Construction of Active Appearance Models as an Image Coding Problem.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Belief state approaches to signaling alarms in surveillance systems.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

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

Covariant Policy Search.
Proceedings of the IJCAI-03, 2003

Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries.
Proceedings of the Machine Learning, 2003

Tractable Group Detection on Large Link Data Sets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes.
Proceedings of the UAI '02, 2002

Stochastic Link and Group Detection.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

2000
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids.
Proceedings of the Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000

1999
3-D Deformable Registration of Medical Images Using a Statistical Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Distributed Value Functions.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Value Function Based Production Scheduling.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997
Efficient Locally Weighted Polynomial Regression Predictions.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Memory-based Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Cooperative coaching in robot learning.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1995

1994
Efficient search for robot skill learning: simulation and reality.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1994

High Dimension Action Spaces in Robot Skill Learning.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Robot Skill Learning, Basic Functions, and Control Regimes.
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993


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