Alessandro Rudi
- Artificial Intelligence
- Computational Mechanics
- Computer Vision and Pattern Recognition
- Human-Computer Interaction top 10%
- Statistics and Probability top 10%
- Co-authors
- Lorenzo RosascoFiora PirriMatia PizzoliFrancis BachJunhong LinVolkan CevherCarlo CilibertoEmanuele Borgonovo
- Topics
- Sparse and Compressive Sensing Techniques (8 papers)Advanced Optimization Algorithms Research (5 papers)Machine Learning and Algorithms (4 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Alessandro Rudi
21 papers receiving 158 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 73
- Computational Mechanics 46
- Computer Vision and Pattern Recognition 44
- Human-Computer Interaction 27
- Statistics and Probability 24
Countries citing papers authored by Alessandro Rudi
This map shows the geographic impact of Alessandro Rudi'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 Alessandro Rudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Rudi more than expected).
Fields of papers citing papers by Alessandro Rudi
This network shows the impact of papers produced by Alessandro Rudi. 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 Alessandro Rudi. The network helps show where Alessandro Rudi may publish in the future.
Co-authorship network of co-authors of Alessandro Rudi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Rudi. A scholar is included among the top collaborators of Alessandro Rudi 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 Alessandro Rudi. Alessandro Rudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings | 1 |
| 7 | Kernel Methods Through the Roof: Handling Billions of Points Efficiently | 2 |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | Generalization Properties of Learning with Random Features | 33 |
| 12 | Consistent Multitask Learning with Nonlinear Output Relations | 6 |
| 13 | 2 | |
| 14 | NYTRO: When Subsampling Meets Early Stopping | 7 |
| 15 | A Consistent Regularization Approach for Structured Prediction | 0 |
| 16 | Less is More: Nyström Computational Regularization | 8 |
| 17 | 7 | |
| 18 | Adaptive Optimization for Cross Validation | 2 |
| 19 | 31 | |
| 20 | 1 |
About Alessandro Rudi
Alessandro Rudi is a scholar working on Numerical Analysis, Statistics and Probability and Computational Mechanics, having authored 24 papers that have together received 167 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Advanced Optimization Algorithms Research (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Human-Computer Interaction (27 citations), Numerical Analysis (21 citations) and Statistics and Probability (24 citations). Alessandro Rudi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Lorenzo Rosasco, Fiora Pirri, Matia Pizzoli, Francis Bach, Junhong Lin, Volkan Cevher, Carlo Ciliberto, Emanuele Borgonovo, Massimiliano Pontil and Boris Muzellec. Their work appears in journals such as Operations Research, 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.