Jeff Schneider
Impact in
- Computational Mathematics top 1%
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Gaussian Processes and Bayesian Inference
Papers in
-
- Machine Learning and Algorithms 39
- Reinforcement Learning in Robotics 24
- Anomaly Detection Techniques and Applications 18
- Gaussian Processes and Bayesian Inference 18
- Domain Adaptation and Few-Shot Learning 10
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- Advanced Bandit Algorithms Research 15
- Co-authors
- Liang XiongTzu-Kuo HuangBarnabás PóczosJ. Andrew BagnellFang‐Chieh ChouHenggang CuiTsung-Han LinThi Nguyen
- Journals
- The Astrophysical Journal (4 papers)Nuclear Fusion (2 papers)IEEE Robotics and Automation Letters (2 papers)The Astronomical Journal (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jeff Schneider
150 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computational Mathematics 136
- Artificial Intelligence 2.0k
- Automotive Engineering 615
- Computer Science Applications 230
- Computer Vision and Pattern Recognition 846
Countries citing papers authored by Jeff Schneider
This map shows the geographic impact of Jeff Schneider's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeff Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Schneider more than expected).
Fields of papers citing papers by Jeff Schneider
This network shows the impact of papers produced by Jeff Schneider. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeff Schneider. The network helps show where Jeff Schneider may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Schneider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 11 | |
| 2 | Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments. | 2019 | 5 |
| 3 | Parallelised Bayesian Optimisation via Thompson Sampling | 2018 | 44 |
| 4 | Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks | 2018 | 20 |
| 5 | Neural Architecture Search with Bayesian Optimisation and Optimal Transport | 2018 | 71 |
| 6 | Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. | 2018 | 26 |
| 7 | High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models | 2016 | 28 |
| 8 | 2016 | 32 | |
| 9 | 2015 | 51 | |
| 10 | Bayesian Active Learning for Posterior Estimation - IJCAI-15 Distinguished Paper. | 2015 | 1 |
| 11 | Generalization bounds for transfer learning under model shift | 2015 | 4 |
| 12 | Learning from point sets with observational bias | 2014 | 2 |
| 13 | Σ-Optimality for Active Learning on Gaussian Random Fields | 2013 | 16 |
| 14 | Spectral Learning of Hidden Markov Models from Dynamic and Static Data | 2013 | 1 |
| 15 | A Composite Likelihood View for Multi-Label Classification | 2012 | 9 |
| 16 | Projection Penalties: Dimension Reduction without Loss | 2010 | 3 |
| 17 | Learning Nonlinear Dynamic Models from Non-sequenced Data | 2010 | 3 |
| 18 | Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text | 2008 | 7 |
| 19 | 2004 | 104 | |
| 20 | High dimension action spaces in robot skill learning | 1994 | 2 |
About Jeff Schneider
Jeff Schneider is a scholar working on Artificial Intelligence, Management Science and Operations Research, Instrumentation, Computational Mathematics and Signal Processing, having authored 157 papers that have together received 3.9k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (39 papers), Reinforcement Learning in Robotics (24 papers), Anomaly Detection Techniques and Applications (18 papers), Gaussian Processes and Bayesian Inference (18 papers), Advanced Bandit Algorithms Research (15 papers), Autonomous Vehicle Technology and Safety (13 papers), Optimization and Search Problems (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computational Mathematics (136 citations), Artificial Intelligence (2.0k citations), Automotive Engineering (615 citations), Computer Science Applications (230 citations) and Computer Vision and Pattern Recognition (846 citations). Jeff Schneider has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Liang Xiong, Tzu-Kuo Huang, Barnabás Póczos, J. Andrew Bagnell, Fang‐Chieh Chou, Henggang Cui, Tsung-Han Lin, Thi Nguyen, Nemanja Djuric and Kaustav Das. Their work appears in journals such as The Astrophysical Journal, Nuclear Fusion, IEEE Robotics and Automation Letters, The Astronomical Journal and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.