Jacob Abernethy
Impact in
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- Advanced Bandit Algorithms Research
- Auction Theory and Applications
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Reinforcement Learning in Robotics
Papers in
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- Advanced Bandit Algorithms Research 45
- Auction Theory and Applications 16
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- Machine Learning and Algorithms 19
- Reinforcement Learning in Robotics 10
- Stochastic Gradient Optimization Techniques 8
- Co-authors
- Alexander Rakhlin (11 shared papers)Elad Hazan (4 shared papers)Peter L. Bartlett (9 shared papers)Eric M. Schwartz (2 shared papers)Kanishka Misra (2 shared papers)Olivier Chapelle (2 shared papers)Carlos Castillo (2 shared papers)Jennifer Wortman Vaughan (3 shared papers)
- Journals
- IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Machine Learning (1 paper)Journal of Machine Learning Research (1 paper)Mathematical Programming (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Jacob Abernethy
63 papers receiving 946 citations
Peers
Comparison fields: 5 of 84
- Management Science and Operations Research 599
- Artificial Intelligence 580
- Marketing 123
- Computer Networks and Communications 225
- General Decision Sciences 13
Countries citing papers authored by Jacob Abernethy
This map shows the geographic impact of Jacob Abernethy'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 Jacob Abernethy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Abernethy more than expected).
Fields of papers citing papers by Jacob Abernethy
This network shows the impact of papers produced by Jacob Abernethy. 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 Jacob Abernethy. The network helps show where Jacob Abernethy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Abernethy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | Competing in the dark: An efficient algorithm for bandit linear optimization | 2008 | 110 |
| 3 | 2008 | 61 | |
| 4 | Optimal Strategies and Minimax Lower Bounds for Online Convex Games | 2008 | 52 |
| 5 | 2010 | 49 | |
| 6 | 2013 | 47 | |
| 7 | A Stochastic View of Optimal Regret through Minimax Duality | 2009 | 45 |
| 8 | 2008 | 44 | |
| 9 | 2011 | 37 | |
| 10 | Blackwell Approachability and No-Regret Learning are Equivalent | 2011 | 35 |
| 11 | 2012 | 29 | |
| 12 | 2011 | 26 | |
| 13 | WITCH: A NEW APPROACH TO WEB SPAM DETECTION | 2008 | 25 |
| 14 | 2007 | 23 | |
| 15 | 2009 | 22 | |
| 16 | A Characterization of Scoring Rules for Linear Properties | 2012 | 22 |
| 17 | Optimal Stragies and Minimax Lower Bounds for Online Convex Games. | 2008 | 17 |
| 18 | Beating the adaptive bandit with high probability | 2009 | 16 |
| 19 | When Random Play is Optimal Against an Adversary. | 2008 | 15 |
| 20 | How to Train Your DRAGAN | 2017 | 13 |
About Jacob Abernethy
Jacob Abernethy is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Economics and Econometrics and Marketing, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (45 papers), Machine Learning and Algorithms (19 papers), Auction Theory and Applications (16 papers), Optimization and Search Problems (13 papers), Reinforcement Learning in Robotics (10 papers), Sports Analytics and Performance (8 papers), Stochastic Gradient Optimization Techniques (8 papers) and Consumer Market Behavior and Pricing (8 papers). The work is most often cited by research in Management Science and Operations Research (599 citations), Artificial Intelligence (580 citations), Marketing (123 citations), Computer Networks and Communications (225 citations) and General Decision Sciences (13 citations). Jacob Abernethy has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Alexander Rakhlin, Elad Hazan, Peter L. Bartlett, Eric M. Schwartz, Kanishka Misra, Olivier Chapelle, Carlos Castillo, Jennifer Wortman Vaughan, Yiling Chen and Rafael Frongillo. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Knowledge and Data Engineering, Machine Learning, Journal of Machine Learning Research and Mathematical Programming.
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.