Ameet Talwalkar
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computational Mechanics top 5%
- Co-authors
- Mehryar MohriAfshin RostamizadehSanjiv KumarKevin JamiesonMichael I. JordanGiulia DeSalvoLisha LiValerie Chen
- Topics
- Machine Learning and Data Classification (15 papers)Sparse and Compressive Sensing Techniques (10 papers)Explainable Artificial Intelligence (XAI) (9 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ameet Talwalkar
51 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 837
- Computer Networks and Communications 415
- Information Systems 360
- Computational Mechanics 356
Countries citing papers authored by Ameet Talwalkar
This map shows the geographic impact of Ameet Talwalkar'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 Ameet Talwalkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ameet Talwalkar more than expected).
Fields of papers citing papers by Ameet Talwalkar
This network shows the impact of papers produced by Ameet Talwalkar. 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 Ameet Talwalkar. The network helps show where Ameet Talwalkar may publish in the future.
Co-authorship network of co-authors of Ameet Talwalkar
This figure shows the co-authorship network connecting the top 25 collaborators of Ameet Talwalkar. A scholar is included among the top collaborators of Ameet Talwalkar 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 Ameet Talwalkar. Ameet Talwalkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | FACT: A Diagnostic for Group Fairness Trade-offs | 3 |
| 5 | Learning Fair Representations for Kernel Models. | 4 |
| 6 | A System for Massively Parallel Hyperparameter Tuning | 87 |
| 7 | Provable Guarantees for Gradient-Based Meta-Learning. | 11 |
| 8 | Supervised Local Modeling for Interpretability. | 1 |
| 9 | Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization | 40 |
| 10 | Paleo: A Performance Model for Deep Neural Networks | 81 |
| 11 | Non-stochastic Best Arm Identification and Hyperparameter Optimization | 44 |
| 12 | Supervised Neighborhoods for Distributed Nonparametric Regression | 4 |
| 13 | Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale | 14 |
| 14 | Knowing when you're wrong: Building fast and reliable approximate query processing systems | 7 |
| 15 | Large-scale SVD and manifold learning | 39 |
| 16 | Sampling methods for the Nyström method | 146 |
| 17 | Divide-and-Conquer Matrix Factorization | 13 |
| 18 | Can matrix coherence be efficiently and accurately estimated | 11 |
| 19 | On the Impact of Kernel Approximation on Learning Accuracy | 73 |
| 20 | Ensemble Nystrom Method | 70 |
About Ameet Talwalkar
Ameet Talwalkar is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 3.8k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (15 papers), Sparse and Compressive Sensing Techniques (10 papers) and Explainable Artificial Intelligence (XAI) (9 papers). The work is most often cited by research in Computational Mathematics (52 citations), Artificial Intelligence (2.0k citations) and Computer Vision and Pattern Recognition (837 citations). Ameet Talwalkar has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Mehryar Mohri, Afshin Rostamizadeh, Sanjiv Kumar, Kevin Jamieson, Michael I. Jordan, Giulia DeSalvo, Lisha Li, Valerie Chen, Gregory Plumb and Joon Sik Kim. Their work appears in journals such as Bioinformatics, Nature Methods and Communications of the ACM.
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.