--- title: "John C. Langford · Microsoft — author profile and papers" description: "John C. Langford, Microsoft: 2 papers on Elamur Research (2017–2019), h-index 62 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/john-c-langford/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/john-c-langford/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / John C. Langford # John C. Langford John C. Langford has 2 papers in our library, in 2017–2019; often with [Alekh Agarwal](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/), [Dipendra Misra](https://md.research.elamur.ai/free/en/authors/dipendra-misra/), [Yoav Artzi](https://md.research.elamur.ai/free/en/authors/yoav-artzi/). 2 papers in our library · 2017–2019 [OpenAlex](https://openalex.org/A5005003250) · [ORCID](https://orcid.org/0000-0002-9811-3550) · [**h-index 62**](https://openalex.org/authors/A5005003250) · [213 works](https://openalex.org/works?filter=author.id:A5005003250) · [34,957 citations](https://openalex.org/works?filter=author.id:A5005003250&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/john-c-langford/#papers) · [🔗 Cited 283 times in our library](https://md.research.elamur.ai/free/en/authors/john-c-langford/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3761](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3761) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=John+C.+Langford) · [Semantic Scholar](https://www.semanticscholar.org/search?q=John+C.+Langford) · [dblp](https://dblp.org/search?q=John+C.+Langford) · [ACL Anthology](https://aclanthology.org/search/?q=John+C.+Langford) ## Affiliations [🏢**Microsoft** Redmond · United States 2008–2026 · 46 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Yahoo** Sunnyvale · United States 2007–2014 · 35 papers](https://md.research.elamur.ai/free/en/companies/yahoo/) · [🏢**Microsoft Research New York City** New York · United States 2011–2023 · 30 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-new-york-city/) · [🎓**Toyota Technological Institute at Chicago** Chicago · United States 2004–2012 · 19 papers](https://md.research.elamur.ai/free/en/universities/toyota-technological-institute-at-chicago/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1999–2018 · 16 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2003–2018 · 5 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🏢**Yahoo** London · United Kingdom 2010–2012 · 5 papers](https://md.research.elamur.ai/free/en/companies/yahoo-united-kingdom/) · [🏢**IBM** Armonk · United States 2003–2018 · 3 papers](https://md.research.elamur.ai/free/en/companies/ibm/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) ## Works by year ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/john-c-langford/year/2019/) · [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/john-c-langford/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/)** *(2019 · 362 citations)* The paper addresses batch active learning for deep neural networks. The task is to select a whole group of unlabeled examples for labeling at once while spending as little annotator effort as possible. Methods that consider only model uncertainty often fill a batch with nearly identical examples. Methods that seek… 2. **[Mapping Instructions and Visual Observations to Actions with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/misra-2017-mapping-instructions-visual-observations-actions/)** *(2017 · 255 citations)* The paper tackles natural-language instruction following when the agent sees only raw camera images, not a structured symbolic description of the world. ## All works 12 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Feature hashing for large scale multitask learning ↗](https://doi.org/10.1145/1553374.1553516) International Conference on Machine Learning · no summary yet**Kilian Q. Weinberger et al.*2009 · 958 citations* 2. **[Cover trees for nearest neighbor ↗](https://doi.org/10.1145/1143844.1143857) International Conference on Machine Learning · no summary yet**Alina Beygelzimer, Sham M. Kakade, John C. Langford*2006 · 825 citations* 3. **[PAC model-free reinforcement learning ↗](https://doi.org/10.1145/1143844.1143955) International Conference on Machine Learning · no summary yet**Alexander L. Strehl et al.*2006 · 389 citations* 4. **[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, et al.*2019 · 362 citations* 5. **[Importance Weighted Active Learning ↗](https://arxiv.org/abs/0812.4952) arXiv:0812.4952 · no summary yet**Alina Beygelzimer, Sanjoy Dasgupta, John Langford*2008 · 286 citations* 6. **[Agnostic active learning ↗](https://doi.org/10.1145/1143844.1143853) International Conference on Machine Learning · no summary yet**Maria-Florina Balcan, Alina Beygelzimer, John C. Langford*2006 · 276 citations* 7. **[Mapping Instructions and Visual Observations to Actions with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/misra-2017-mapping-instructions-visual-observations-actions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dipendra Misra, John Langford, Yoav Artzi*2017 · 255 citations* 8. **[Multi-Label Prediction via Compressed Sensing ↗](https://openalex.org/W2115119296) neural information processing systems · no summary yet**John C. Langford et al.*2009 · 255 citations* 9. **[Slow Learners are Fast ↗](https://openalex.org/W2133233009) neural information processing systems · no summary yet**Martin Zinkevich, John C. Langford, Alex J. Smola*2009 · 196 citations* 10. **[Error limiting reductions between classification tasks ↗](https://doi.org/10.1145/1102351.1102358) International Conference on Machine Learning · no summary yet**Alina Beygelzimer et al.*2005 · 64 citations* 11. **[Relating reinforcement learning performance to classification performance ↗](https://doi.org/10.1145/1102351.1102411) International Conference on Machine Learning · no summary yet**John C. Langford, Bianca Zadrozny*2005 · 60 citations* 12. **[Learning nonlinear dynamic models ↗](https://doi.org/10.1145/1553374.1553451) International Conference on Machine Learning · no summary yet**John C. Langford, Ruslan Salakhutdinov, Tong Zhang*2009 · 30 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Alekh Agarwal](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/) - [Dipendra Misra](https://md.research.elamur.ai/free/en/authors/dipendra-misra/) - [Yoav Artzi](https://md.research.elamur.ai/free/en/authors/yoav-artzi/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Machine Learning ×7 - neural information processing systems ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/) - [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/) ## Cited by Papers of our library cite their works 283 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/john-c-langford/cited-by/). Updated 2 November 2026