Peter L. Bartlett
Impact in
- Artificial Intelligence top 0.05%
- Machine Learning and Algorithms
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
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- Face and Expression Recognition
Papers in
-
- Machine Learning and Algorithms 84
- Neural Networks and Applications 31
- Reinforcement Learning in Robotics 20
- Stochastic Gradient Optimization Techniques 19
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- Statistical Methods and Inference 20
- Co-authors
- Robert C. WilliamsonAlex SmolaMartin AnthonyBernhard SchölkopfYoav FreundRobert E. SchapireJohn Shawe‐TaylorMichael I. Jordan
- Journals
- IEEE Transactions on Information Theory (10 papers)Journal of Machine Learning Research (6 papers)Neural Computation (6 papers)Journal of Computer and System Sciences (5 papers)Machine Learning (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Peter L. Bartlett
189 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Artificial Intelligence 7.4k
- Computer Vision and Pattern Recognition 3.3k
- Statistics and Probability 926
- Management Science and Operations Research 1.1k
- Signal Processing 679
Countries citing papers authored by Peter L. Bartlett
This map shows the geographic impact of Peter L. Bartlett'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 Peter L. Bartlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter L. Bartlett more than expected).
Fields of papers citing papers by Peter L. Bartlett
This network shows the impact of papers produced by Peter L. Bartlett. 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 Peter L. Bartlett. The network helps show where Peter L. Bartlett may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter L. Bartlett, 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 | 2024 | 1 | |
| 2 | 2022 | 0 | |
| 3 | High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm | 2021 | 15 |
| 4 | Minimax fixed-design linear regression | 2015 | 4 |
| 5 | Minimax time series prediction | 2015 | 5 |
| 6 | Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing | 2015 | 4 |
| 7 | Tracking Adversarial Targets | 2014 | 4 |
| 8 | Exchangeability characterizes optimality of sequential normalized maximum likelihood and Bayesian prediction with Jeffreys Prior | 2012 | 8 |
| 9 | Oracle inequalities for computationally budgeted model selection | 2011 | 9 |
| 10 | Information-theoretic lower bounds on the oracle complexity of convex optimization | 2009 | 32 |
| 11 | 2008 | 87 | |
| 12 | High-probability regret bounds for bandit online linear optimization | 2008 | 32 |
| 13 | 2008 | 1 | |
| 14 | Optimistic linear programming gives logarithmic regret for irreducible MDPs | 2007 | 22 |
| 15 | 2006 | 1 | |
| 16 | Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates | 2003 | 26 |
| 17 | 2002 | 242 | |
| 18 | Sparse Greedy Gaussian Process Regression | 2000 | 214 |
| 19 | Generalization in Decision Trees and DNF: Does Size Matter? | 1997 | 16 |
| 20 | For Valid Generalization the Size of the Weights is More Important than the Size of the Network | 1996 | 137 |
About Peter L. Bartlett
Peter L. Bartlett is a scholar working on Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 200 papers that have together received 12.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (84 papers), Advanced Bandit Algorithms Research (41 papers), Neural Networks and Applications (31 papers), Sparse and Compressive Sensing Techniques (24 papers), Reinforcement Learning in Robotics (20 papers), Statistical Methods and Inference (20 papers), Stochastic Gradient Optimization Techniques (19 papers) and Face and Expression Recognition (16 papers). The work is most often cited by research in Artificial Intelligence (7.4k citations), Computer Vision and Pattern Recognition (3.3k citations), Statistics and Probability (926 citations), Management Science and Operations Research (1.1k citations) and Signal Processing (679 citations). Peter L. Bartlett has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert C. Williamson, Alex Smola, Martin Anthony, Bernhard Schölkopf, Yoav Freund, Robert E. Schapire, John Shawe‐Taylor, Michael I. Jordan, Jonathan Baxter and Jon McAuliffe. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Machine Learning Research, Neural Computation, Journal of Computer and System Sciences and Machine Learning.
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.