Aldo Pacchiano
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Safety Research
- Management Science and Operations Research
- Computational Theory and Mathematics
- Co-authors
- Heinrich JiangKrzysztof ChoromańskiTom StepletonSilvia ChiappaJohn AslanidesJack Parker-HolderWenbo GaoPhilip Ball
- Topics
- Advanced Bandit Algorithms Research (6 papers)Reinforcement Learning in Robotics (5 papers)Machine Learning and Algorithms (4 papers)
- Journals
- CaltechAUTHORS (California Institute of Technology)arXiv (Cornell University)Neural Information Processing Systems
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Aldo Pacchiano
18 papers receiving 63 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 53
- Computer Vision and Pattern Recognition 10
- Safety Research 10
- Management Science and Operations Research 10
- Computational Theory and Mathematics 6
Countries citing papers authored by Aldo Pacchiano
This map shows the geographic impact of Aldo Pacchiano'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 Aldo Pacchiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aldo Pacchiano more than expected).
Fields of papers citing papers by Aldo Pacchiano
This network shows the impact of papers produced by Aldo Pacchiano. 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 Aldo Pacchiano. The network helps show where Aldo Pacchiano may publish in the future.
Co-authorship network of co-authors of Aldo Pacchiano
This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Pacchiano. A scholar is included among the top collaborators of Aldo Pacchiano 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 Aldo Pacchiano. Aldo Pacchiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Stochastic Bandits with Linear Constraints | 2 |
| 2 | Deep Reinforcement Learning with Dynamic Optimism. | 2 |
| 3 | 1 | |
| 4 | Dynamic Balancing for Model Selection in Bandits and RL | 1 |
| 5 | ES-MAML: Simple Hessian-Free Meta Learning | 12 |
| 6 | On Thompson Sampling with Langevin Algorithms | 1 |
| 7 | Ready Policy One: World Building Through Active Learning | 9 |
| 8 | Effective Diversity in Population Based Reinforcement Learning | 2 |
| 9 | On Approximate Thompson Sampling with Langevin Algorithms. | 2 |
| 10 | 19 | |
| 11 | KAMA-NNs: low-dimensional rotation based neural networks | 1 |
| 12 | When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies | 1 |
| 13 | Wasserstein Fair Classification | 5 |
| 14 | 1 | |
| 15 | Online learning with kernel losses | 2 |
| 16 | Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. | 0 |
| 17 | Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation | 1 |
| 18 | Geometrically Coupled Monte Carlo Sampling | 3 |
| 19 | Conditions beyond treewidth for tightness of higher-order LP relaxations | 1 |
About Aldo Pacchiano
Aldo Pacchiano is a scholar working on Computational Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 19 papers that have together received 66 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (6 papers), Reinforcement Learning in Robotics (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (1 citation), Artificial Intelligence (53 citations) and Safety Research (10 citations). Aldo Pacchiano has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Heinrich Jiang, Krzysztof Choromański, Tom Stepleton, Silvia Chiappa, John Aslanides, Jack Parker-Holder, Wenbo Gao, Philip Ball, Yuxiang Yang and Xingyou Song. Their work appears in journals such as CaltechAUTHORS (California Institute of Technology), arXiv (Cornell University) and Neural Information Processing Systems.
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.