Jeff G. Schneider

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1993–2024

Best venue rank

Where they publish

Papers

80 indexed papers, newest first.

Year	Venue	Title	Authors
2024	CoRL	Genetic Algorithm for Curriculum Design in Multi-Agent Reinforcement Learning.	Yeeho Song, Jeff G. Schneider
2024	CVPR	Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving.	Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki
2024	ICRA	Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents.	Arundhati Banerjee, Jeff G. Schneider
2024	ICRA	Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving.	Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff G. Schneider
2023	ICRA	GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search.	Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods, Jeff G. Schneider
2023	ICRA	Multi-Agent Active Search using Detection and Location Uncertainty.	Arundhati Banerjee, Ramina Ghods, Jeff G. Schneider
2023	ICRA	Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning.	Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff G. Schneider
2017	AAAI	Active Search for Sparse Signals with Region Sensing.	Yifei Ma, Roman Garnett, Jeff G. Schneider
2017	AAAI	Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.	Siamak Ravanbakhsh, Franois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabs Pczos
2017	ICLR	Deep Learning with Sets and Point Clouds.	Siamak Ravanbakhsh, Jeff G. Schneider, Barnabs Pczos
2017	ICML	Multi-fidelity Bayesian Optimisation with Continuous Approximations.	Kirthevasan Kandasamy, Gautam Dasarathy, Jeff G. Schneider, Barnabs Pczos
2017	ICML	The Statistical Recurrent Unit.	Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2017	ICML	Equivariance Through Parameter-Sharing.	Siamak Ravanbakhsh, Jeff G. Schneider, Barnabs Pczos
2016	AAAI	Linear-Time Learning on Distributions with Approximate Kernel Embeddings.	Danica J. Sutherland, Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2016	AISTATS	High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models.	Chun-Liang Li, Kirthevasan Kandasamy, Barnabs Pczos, Jeff G. Schneider
2016	AISTATS	Bayesian Nonparametric Kernel-Learning.	Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabs Pczos, Jeff G. Schneider, Eric P. Xing
2016	AISTATS	Stochastic Neural Networks with Monotonic Activation Functions.	Siamak Ravanbakhsh, Barnabs Pczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
2016	ICML	Estimating Cosmological Parameters from the Dark Matter Distribution.	Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabs Pczos
2016	IJCAI	Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.	Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabs Pczos
2015	AISTATS	Active Pointillistic Pattern Search.	Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider
2015	AISTATS	Fast Function to Function Regression.	Junier B. Oliva, Willie Neiswanger, Barnabs Pczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider
2015	ICCAD	Statistical Learning in Chip (SLIC).	Ronald D. Blanton, Xin Li, Ken Mai, Diana Marculescu, Radu Marculescu, Jeyanandh Paramesh, Jeff G. Schneider, Donald E. Thomas
2015	ICML	Finding Galaxies in the Shadows of Quasars with Gaussian Processes.	Roman Garnett, Shirley Ho, Jeff G. Schneider
2015	ICML	High Dimensional Bayesian Optimisation and Bandits via Additive Models.	Kirthevasan Kandasamy, Jeff G. Schneider, Barnabs Pczos
2015	IJCAI	Bayesian Active Learning for Posterior Estimation - IJCAI-15 Distinguished Paper.	Kirthevasan Kandasamy, Jeff G. Schneider, Barnabs Pczos
2015	UAI	Active Search and Bandits on Graphs using Sigma-Optimality.	Yifei Ma, Tzu-Kuo Huang, Jeff G. Schneider
2015	UAI	On the Error of Random Fourier Features.	Danica J. Sutherland, Jeff G. Schneider
2015	UAI	Generalization Bounds for Transfer Learning under Model Shift.	Xuezhi Wang, Jeff G. Schneider
2014	AISTATS	Active Area Search via Bayesian Quadrature.	Yifei Ma, Roman Garnett, Jeff G. Schneider
2014	AISTATS	Fast Distribution To Real Regression.	Junier B. Oliva, Willie Neiswanger, Barnabs Pczos, Jeff G. Schneider, Eric P. Xing
2014	AISTATS	FuSSO: Functional Shrinkage and Selection Operator.	Junier B. Oliva, Barnabs Pczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng
2014	ICML	Active Transfer Learning under Model Shift.	Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider
2014	ICPR	Systematic Labeling Bias: De-biasing Where Everyone is Wrong.	Guillermo F. Cabrera, Christopher J. Miller, Jeff G. Schneider
2014	UAI	Learning from Point Sets with Observational Bias.	Liang Xiong, Jeff G. Schneider
2013	ICDM	Efficient Learning on Point Sets.	Liang Xiong, Barnabs Pczos, Jeff G. Schneider
2013	ICML	Spectral Learning of Hidden Markov Models from Dynamic and Static Data.	Tzu-Kuo Huang, Jeff G. Schneider
2013	ICML	Distribution to Distribution Regression.	Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2013	ICML	Expensive Function Optimization with Stochastic Binary Outcomes.	Matthew Tesch, Jeff G. Schneider, Howie Choset
2013	ICRA	Expensive multiobjective optimization for robotics.	Matthew Tesch, Jeff G. Schneider, Howie Choset
2013	KDD	Active learning and search on low-rank matrices.	Danica J. Sutherland, Barnabs Pczos, Jeff G. Schneider
2013	KDD	Active search on graphs.	Xuezhi Wang, Roman Garnett, Jeff G. Schneider
2012	CVPR	Nonparametric kernel estimators for image classification.	Barnabs Pczos, Liang Xiong, Danica J. Sutherland, Jeff G. Schneider
2012	ICML	Bayesian Optimal Active Search and Surveying.	Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann
2012	ICML	Copula-based Kernel Dependency Measures.	Barnabs Pczos, Zoubin Ghahramani, Jeff G. Schneider
2012	ICML	Maximum Margin Output Coding.	Yi Zhang, Jeff G. Schneider
2011	ICDM	Direct Robust Matrix Factorizatoin for Anomaly Detection.	Liang Xiong, Xi Chen, Jeff G. Schneider
2011	IROS	Adapting control policies for expensive systems to changing environments.	Matthew Tesch, Jeff G. Schneider, Howie Choset
2011	IROS	Using response surfaces and expected improvement to optimize snake robot gait parameters.	Matthew Tesch, Jeff G. Schneider, Howie Choset
2011	UAI	Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions.	Barnabs Pczos, Liang Xiong, Jeff G. Schneider
2010	ICML	Projection Penalties: Dimension Reduction without Loss.	Yi Zhang, Jeff G. Schneider
2010	SDM	A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy.	Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2010	SDM	Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization.	Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell
2010	SDM	Learning Compressible Models.	Yi Zhang, Jeff G. Schneider, Artur Dubrawski
2009	ICML	Learning linear dynamical systems without sequence information.	Tzu-Kuo Huang, Jeff G. Schneider
2009	KDD	Efficiently learning the accuracy of labeling sources for selective sampling.	Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2008	AMIA	Learning Detectors of Events in Multivariate Time Series.	Josep Roure, Artur Dubrawski, Jeff G. Schneider
2008	ICML	Actively learning level-sets of composite functions.	Brent Bryan, Jeff G. Schneider
2008	KDD	Anomaly pattern detection in categorical datasets.	Kaustav Das, Jeff G. Schneider, Daniel B. Neill
2007	ICML	Efficiently computing minimax expected-size confidence regions.	Brent Bryan, H. Brendan McMahan, Chad M. Schafer, Jeff G. Schneider
2007	KDD	Detecting anomalous records in categorical datasets.	Kaustav Das, Jeff G. Schneider
2005	ICRA	Game Theoretic Control for Robot Teams.	Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun
2005	ICRA	Learning Opportunity Costs in Multi-Robot Market Based Planners.	Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons
2004	KDD	Belief state approaches to signaling alarms in surveillance systems.	Kaustav Das, Andrew W. Moore, Jeff G. Schneider
2003	ICDM	Tractable Group Detection on Large Link Data Sets.	Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
2003	ICML	Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries.	Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider
2003	IJCAI	Covariant Policy Search.	J. Andrew Bagnell, Jeff G. Schneider
2002	AAAI	Stochastic Link and Group Detection.	Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang
2002	UAI	Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes.	Andrew W. Moore, Jeff G. Schneider
2001	ICRA	Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods.	J. Andrew Bagnell, Jeff G. Schneider
2001	MICCAI	Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures.	Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade
2000	ICRA	Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.	Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
1999	ICML	Distributed Value Functions.	Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller
1999	MICCAI	3-D Deformable Registration of Medical Images Using a Statistical Atlas.	Mei Chen, Takeo Kanade, Dean Pomerleau, Jeff G. Schneider
1998	ICML	Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.	Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
1998	ICML	Value Function Based Production Scheduling.	Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore
1997	ICML	Efficient Locally Weighted Polynomial Regression Predictions.	Andrew W. Moore, Jeff G. Schneider, Kan Deng
1995	IROS	Cooperative coaching in robot learning.	Jeff G. Schneider, Christopher M. Brown
1994	AAAI	High Dimension Action Spaces in Robot Skill Learning.	Jeff G. Schneider
1994	IROS	Efficient search for robot skill learning: simulation and reality.	Jeff G. Schneider, Roger F. Gans
1993	ICRA	Robot Skill Learning, Basic Functions, and Control Regimes.	Jeff G. Schneider, Christopher M. Brown