Ofer Meshi
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
-
- Machine Learning and Data Classification 6
- Machine Learning and Algorithms 6
- Bayesian Modeling and Causal Inference 3
- Reinforcement Learning in Robotics 2
- Neural Networks and Applications 2
-
- Error Correcting Code Techniques 4
- Co-authors
- Amir Globerson (6 shared papers)Tommi Jaakkola (3 shared papers)Tomer Shlomi (1 shared paper)Eytan Ruppin (1 shared paper)David Sontag (2 shared papers)Ariel Jaimovich (2 shared papers)Nir Friedman (1 shared paper)Alexander G. Schwing (3 shared papers)
- Journals
- BMC Systems Biology (1 paper)Journal of Machine Learning Research (1 paper)Neural Information Processing Systems (2 papers)International Conference on Artificial Intelligence and Statistics (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Ofer Meshi
16 papers receiving 159 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 2
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 29
- Computer Networks and Communications 26
- Signal Processing 11
Countries citing papers authored by Ofer Meshi
This map shows the geographic impact of Ofer Meshi'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 Ofer Meshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ofer Meshi more than expected).
Fields of papers citing papers by Ofer Meshi
This network shows the impact of papers produced by Ofer Meshi. 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 Ofer Meshi. The network helps show where Ofer Meshi may publish in the future.
Co-authors
The 22 scholars most cited alongside Ofer Meshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 41 | |
| 2 | Learning Efficiently with Approximate Inference via Dual Losses | 2010 | 35 |
| 3 | 2012 | 20 | |
| 4 | Convergence Rate Analysis of MAP Coordinate Minimization Algorithms | 2012 | 13 |
| 5 | More data means less inference: A pseudo-max approach to structured learning | 2010 | 11 |
| 6 | Learning Structured Models with the AUC Loss and Its Generalizations | 2014 | 9 |
| 7 | Smooth and strong: MAP inference with linear convergence | 2015 | 8 |
| 8 | FastInf: An Efficient Approximate Inference Library | 2010 | 8 |
| 9 | Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes | 2016 | 4 |
| 10 | Efficient Training of Structured SVMs via Soft Constraints | 2015 | 3 |
| 11 | 2024 | 3 | |
| 12 | Approximate Linear Programming for Logistic Markov Decision Processes | 2017 | 3 |
| 13 | Asynchronous Parallel Coordinate Minimization for MAP Inference | 2017 | 2 |
| 14 | 2017 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2013 | 1 |
About Ofer Meshi
Ofer Meshi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Information Systems and Computational Mechanics, having authored 16 papers that have together received 165 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Machine Learning and Algorithms (6 papers), Error Correcting Code Techniques (4 papers), Bayesian Modeling and Causal Inference (3 papers), Reinforcement Learning in Robotics (2 papers), Neural Networks and Applications (2 papers), Recommender Systems and Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Artificial Intelligence (108 citations), Computer Vision and Pattern Recognition (29 citations), Computer Networks and Communications (26 citations) and Signal Processing (11 citations). Ofer Meshi has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Amir Globerson, Tommi Jaakkola, Tomer Shlomi, Eytan Ruppin, David Sontag, Ariel Jaimovich, Nir Friedman, Alexander G. Schwing, Gal Elidan and Mehrdad Mahdavi. Their work appears in journals such as BMC Systems Biology, Journal of Machine Learning Research, Neural Information Processing Systems, International Conference on Artificial Intelligence and Statistics and DSpace@MIT (Massachusetts Institute of Technology).
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.