David Sontag
- Artificial Intelligence top 0.2%
- Molecular Biology
- Signal Processing top 1%
- Health Information Management top 0.1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Yan LiuSanjay PurushothamZhengping CheAlexander M. RushYacine JerniteTommi JaakkolaYoon KimYoni Halpern
- Topics
- Topic Modeling (14 papers)Machine Learning in Healthcare (14 papers)Bayesian Modeling and Causal Inference (13 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
David Sontag
79 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 3.3k
- Molecular Biology 619
- Signal Processing 611
- Health Information Management 566
- Computer Vision and Pattern Recognition 436
Countries citing papers authored by David Sontag
This map shows the geographic impact of David Sontag'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 David Sontag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sontag more than expected).
Fields of papers citing papers by David Sontag
This network shows the impact of papers produced by David Sontag. 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 David Sontag. The network helps show where David Sontag may publish in the future.
Co-authorship network of co-authors of David Sontag
This figure shows the co-authorship network connecting the top 25 collaborators of David Sontag. A scholar is included among the top collaborators of David Sontag 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 David Sontag. David Sontag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Large language models are few-shot clinical information extractorsbreakdown → | 142 |
| 2 | 31 | |
| 3 | 21 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. | 1 |
| 7 | Max-margin learning with the Bayes factor | 1 |
| 8 | Visual Exploration of Temporal Data in Electronic Medical Records. | 1 |
| 9 | Barrier Frank-Wolfe for marginal inference | 1 |
| 10 | Understanding the Bethe approximation: when and how can it go wrong? | 10 |
| 11 | Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests | 7 |
| 12 | Unsupervised learning of noisy-or Bayesian networks | 7 |
| 13 | SparsityBoost: a new scoring function for learning Bayesian network structure | 6 |
| 14 | Complexity of Inference in Latent Dirichlet Allocation | 45 |
| 15 | Learning Bayesian Network Structure using LP Relaxations | 100 |
| 16 | More data means less inference: A pseudo-max approach to structured learning | 10 |
| 17 | Learning Efficiently with Approximate Inference via Dual Losses | 35 |
| 18 | Tree block coordinate descent for map in graphical models | 35 |
| 19 | Clusters and Coarse Partitions in LP Relaxations | 11 |
| 20 | New Outer Bounds on the Marginal Polytope | 74 |
About David Sontag
David Sontag is a scholar working on Issues, ethics and legal aspects, Health Information Management and Artificial Intelligence, having authored 83 papers that have together received 5.0k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Machine Learning in Healthcare (14 papers) and Bayesian Modeling and Causal Inference (13 papers). The work is most often cited by research in Health Informatics (210 citations), Health Information Management (566 citations) and Artificial Intelligence (3.3k citations). David Sontag has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Yan Liu, Sanjay Purushotham, Zhengping Che, Alexander M. Rush, Yacine Jernite, Tommi Jaakkola, Yoon Kim, Yoni Halpern, Steven Horng and Amir Globerson. Their work appears in journals such as Nature Medicine, Nature Communications and Blood.
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.