Kevin Jamieson
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Ameet TalwalkarAfshin RostamizadehGiulia DeSalvoLisha LiRobert D. NowakBenjamin RechtEkaterina GoninaMoritz Hardt
- Topics
- Advanced Bandit Algorithms Research (17 papers)Machine Learning and Algorithms (11 papers)Machine Learning and Data Classification (9 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Signal ProcessingPLoS Computational BiologyJournal of Machine Learning Research
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Kevin Jamieson
32 papers receiving 927 citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 530
- Computer Vision and Pattern Recognition 187
- Management Science and Operations Research 160
- Electrical and Electronic Engineering 84
- Computer Networks and Communications 83
Countries citing papers authored by Kevin Jamieson
This map shows the geographic impact of Kevin Jamieson'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 Kevin Jamieson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Jamieson more than expected).
Fields of papers citing papers by Kevin Jamieson
This network shows the impact of papers produced by Kevin Jamieson. 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 Kevin Jamieson. The network helps show where Kevin Jamieson may publish in the future.
Co-authorship network of co-authors of Kevin Jamieson
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Jamieson. A scholar is included among the top collaborators of Kevin Jamieson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Jamieson. Kevin Jamieson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | Task-Optimal Exploration in Linear Dynamical Systems | 1 |
| 5 | A System for Massively Parallel Hyperparameter Tuning | 87 |
| 6 | The True Sample Complexity of Identifying Good Arms. | 1 |
| 7 | A Bandit Approach to Sequential Experimental Design with False Discovery Control | 4 |
| 8 | Firing Bandits: Optimizing Crowdfunding | 1 |
| 9 | Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization | 40 |
| 10 | A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control | 3 |
| 11 | Hyperband: a novel bandit-based approach to hyperparameter optimizationbreakdown → | 510 |
| 12 | Non-stochastic Best Arm Identification and Hyperparameter Optimization | 44 |
| 13 | Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls | 6 |
| 14 | The Power of Adaptivity in Identifying Statistical Alternatives | 3 |
| 15 | Finite Sample Prediction and Recovery Bounds for Ordinal Embedding | 12 |
| 16 | Sparse Dueling Bandits | 7 |
| 17 | NEXT: a system for real-world development, evaluation, and application of active learning | 23 |
| 18 | lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits | 40 |
| 19 | Query Complexity of Derivative-Free Optimization | 18 |
| 20 | Sequential Bayesian estimation of the probability of detection for tracking | 13 |
About Kevin Jamieson
Kevin Jamieson is a scholar working on Management Science and Operations Research, Artificial Intelligence and Toxicology, having authored 34 papers that have together received 984 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (17 papers), Machine Learning and Algorithms (11 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Artificial Intelligence (530 citations), Management Science and Operations Research (160 citations) and Computer Vision and Pattern Recognition (187 citations). Kevin Jamieson has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ameet Talwalkar, Afshin Rostamizadeh, Giulia DeSalvo, Lisha Li, Robert D. Nowak, Benjamin Recht, Ekaterina Gonina, Moritz Hardt, Liam Li and Lalit Jain. Their work appears in journals such as IEEE Transactions on Signal Processing, PLoS Computational Biology and Journal of Machine Learning Research.
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.