Alexander Rakhlin
- Artificial Intelligence top 1%
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 5%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Karthik SridharanJacob AbernethyPeter L. BartlettElad HazanOhad ShamirAmbuj TewariMaxim RaginskySergey Nikolenko
- Topics
- Advanced Bandit Algorithms Research (34 papers)Machine Learning and Algorithms (32 papers)Sparse and Compressive Sensing Techniques (10 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Alexander Rakhlin
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 896
- Management Science and Operations Research 615
- Computer Networks and Communications 277
- Computational Mechanics 259
- Computer Vision and Pattern Recognition 121
Countries citing papers authored by Alexander Rakhlin
This map shows the geographic impact of Alexander Rakhlin'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 Alexander Rakhlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Rakhlin more than expected).
Fields of papers citing papers by Alexander Rakhlin
This network shows the impact of papers produced by Alexander Rakhlin. 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 Alexander Rakhlin. The network helps show where Alexander Rakhlin may publish in the future.
Co-authorship network of co-authors of Alexander Rakhlin
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Rakhlin. A scholar is included among the top collaborators of Alexander Rakhlin 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 Alexander Rakhlin. Alexander Rakhlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. | 5 |
| 2 | Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon. | 4 |
| 3 | 32 | |
| 4 | Learning with Square Loss: Localization through Offset Rademacher Complexity | 5 |
| 5 | On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities | 1 |
| 6 | Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions | 16 |
| 7 | Geometrizing Local Rates of Convergence for Linear Inverse Problems | 2 |
| 8 | Localization and Adaptation in Online Learning | 2 |
| 9 | Online Learning: Stochastic, Constrained, and Smoothed Adversaries | 20 |
| 10 | Complexity-Based Approach to Calibration With Checking Rules | 6 |
| 11 | Online Learning: Random Averages, Combinatorial Parameters, and Learnability | 35 |
| 12 | An Efficient Bandit Algorithm for sqrt(T) Regret in Online Multiclass Prediction | 4 |
| 13 | Beating the adaptive bandit with high probability | 15 |
| 14 | A Stochastic View of Optimal Regret through Minimax Duality | 41 |
| 15 | High-probability regret bounds for bandit online linear optimization | 32 |
| 16 | Competing in the dark: An efficient algorithm for bandit linear optimization | 99 |
| 17 | Optimal Stragies and Minimax Lower Bounds for Online Convex Games. | 16 |
| 18 | 17 | |
| 19 | Adaptive Online Gradient Descent | 102 |
| 20 | Stability Properties of Empirical Risk Minimization over Donsker Classes | 9 |
About Alexander Rakhlin
Alexander Rakhlin is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (34 papers), Machine Learning and Algorithms (32 papers) and Sparse and Compressive Sensing Techniques (10 papers). The work is most often cited by research in Management Science and Operations Research (615 citations), Artificial Intelligence (896 citations) and Statistics and Probability (108 citations). Alexander Rakhlin has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Karthik Sridharan, Jacob Abernethy, Peter L. Bartlett, Elad Hazan, Ohad Shamir, Ambuj Tewari, Maxim Raginsky, Sergey Nikolenko, Alekh Agarwal and Sayan Mukherjee. Their work appears in journals such as Bioinformatics, IEEE Transactions on Information Theory and The Annals of 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.