Tim van Erven
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Machine Learning and Algorithms
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
Papers in
-
- Machine Learning and Algorithms 8
- Data Stream Mining Techniques 3
-
- Advanced Bandit Algorithms Research 12
- Co-authors
- Peter Harremoës (3 shared papers)Peter Grünwald (6 shared papers)Steven de Rooij (4 shared papers)Jairo Cugliari (1 shared paper)Wouter M. Koolen (6 shared papers)Robert C. Williamson (2 shared papers)Mark D. Reid (1 shared paper)Manfred K. Warmuth (1 shared paper)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)IEEE Transactions on Information Theory (1 paper)Journal of Machine Learning Research (1 paper)Lecture notes in statistics (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- NetherlandsFranceAustralia
In The Last Decade
Tim van Erven
17 papers receiving 1.0k citations
Tim van Erven's Hit Papers
Peers
Comparison fields: 5 of 119
- Statistics and Probability 139
- Artificial Intelligence 524
- Statistical and Nonlinear Physics 160
- Management Science and Operations Research 143
- Computational Mathematics 4
Countries citing papers authored by Tim van Erven
This map shows the geographic impact of Tim van Erven'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 Tim van Erven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim van Erven more than expected).
Fields of papers citing papers by Tim van Erven
This network shows the impact of papers produced by Tim van Erven. 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 Tim van Erven. The network helps show where Tim van Erven may publish in the future.
Co-authors
The 10 scholars most cited alongside Tim van Erven, 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 | Rényi Divergence and Kullback-Leibler Divergence Hit paper breakdown → | 2014 | 894 |
| 2 | 2012 | 40 | |
| 3 | 2015 | 31 | |
| 4 | 2010 | 29 | |
| 5 | 2015 | 18 | |
| 6 | Follow the Leader with Dropout Perturbations | 2014 | 15 |
| 7 | Catching Up Faster in Bayesian Model Selection and Model Averaging | 2007 | 11 |
| 8 | Learning the Switching Rate by Discretising Bernoulli Sources Online | 2009 | 9 |
| 9 | Adaptive Hedge | 2011 | 8 |
| 10 | The Many Faces of Exponential Weights in Online Learning | 2018 | 6 |
| 11 | MIXABILITY IS BAYES RISK CURVATURE RELATIVE TO LOG LOSS | 2011 | 6 |
| 12 | 2016 | 5 | |
| 13 | Second-order quantile methods for experts and combinatorial games | 2015 | 4 |
| 14 | Learning the Learning Rate for Prediction with Expert Advice | 2014 | 3 |
| 15 | Robust Online Convex Optimization in the Presence of Outliers | 2021 | 2 |
| 16 | Open problem: Fast and optimal online portfolio selection | 2020 | 2 |
| 17 | From Exp-concavity to Mixability | 2013 | 2 |
| 18 | Rényi Divergence and Its Properties | 2010 | 1 |
About Tim van Erven
Tim van Erven is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (12 papers), Machine Learning and Algorithms (8 papers), Data Stream Mining Techniques (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Wireless Communication Security Techniques (2 papers), Statistical Mechanics and Entropy (2 papers), Optimization and Search Problems (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Statistics and Probability (139 citations), Artificial Intelligence (524 citations), Statistical and Nonlinear Physics (160 citations), Management Science and Operations Research (143 citations) and Computational Mathematics (4 citations). Tim van Erven has collaborated with scholars based in Netherlands, France and Australia. Frequent co-authors include Peter Harremoës, Peter Grünwald, Steven de Rooij, Jairo Cugliari, Wouter M. Koolen, Robert C. Williamson, Mark D. Reid, Manfred K. Warmuth, Nishant A. Mehta and Wojciech Kotłowski. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), IEEE Transactions on Information Theory, Journal of Machine Learning Research, Lecture notes in statistics and International Conference on Artificial Intelligence and Statistics.
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.