Blake Woodworth
- Artificial Intelligence
- Computational Mechanics
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Numerical Analysis
- Co-authors
- Nathan SrebroNati SrebroJohn C. DuchiYossi ArjevaniYair CarmonDylan J. FosterBrian BullinsOhad Shamir
- Topics
- Stochastic Gradient Optimization Techniques (6 papers)Sparse and Compressive Sensing Techniques (2 papers)Neural Networks and Applications (1 paper)
- Journals
- Mathematical ProgrammingOpenBU/Boston University Institutional Repository (Boston University)arXiv (Cornell University)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Blake Woodworth
8 papers receiving 90 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 70
- Computational Mechanics 27
- Computer Networks and Communications 17
- Electrical and Electronic Engineering 10
- Numerical Analysis 8
Countries citing papers authored by Blake Woodworth
This map shows the geographic impact of Blake Woodworth'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 Blake Woodworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Woodworth more than expected).
Fields of papers citing papers by Blake Woodworth
This network shows the impact of papers produced by Blake Woodworth. 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 Blake Woodworth. The network helps show where Blake Woodworth may publish in the future.
Co-authorship network of co-authors of Blake Woodworth
This figure shows the co-authorship network connecting the top 25 collaborators of Blake Woodworth. A scholar is included among the top collaborators of Blake Woodworth 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 Blake Woodworth. Blake Woodworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 5 | |
| 3 | On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent | 1 |
| 4 | The Gradient Complexity of Linear Regression | 2 |
| 5 | 1 | |
| 6 | Is Local SGD Better than Minibatch SGD | 23 |
| 7 | The Everlasting Database: Statistical Validity at a Fair Price | 1 |
| 8 | 16 | |
| 9 | Learning Non-Discriminatory Predictors | 10 |
About Blake Woodworth
Blake Woodworth is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics, having authored 9 papers that have together received 94 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Health Informatics (3 citations) and Artificial Intelligence (70 citations). Blake Woodworth has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Nathan Srebro, Nati Srebro, John C. Duchi, Yossi Arjevani, Yair Carmon, Dylan J. Foster, Brian Bullins, Ohad Shamir, Suriya Gunasekar and H. Brendan McMahan. Their work appears in journals such as Mathematical Programming, OpenBU/Boston University Institutional Repository (Boston University) and arXiv (Cornell University).
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.