🧑‍🔬 John C. Langford

🏛️ Affiliations

🏢MicrosoftRedmond · United States2008–2026 · 46 paperscurrent🏢YahooSunnyvale · United States2007–2014 · 35 papers🏢Microsoft Research New York CityNew York · United States2011–2023 · 30 papers🎓Toyota Technological Institute at ChicagoChicago · United States2004–2012 · 19 papers🎓Carnegie Mellon UniversityPittsburgh · United States1999–2018 · 16 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2003–2018 · 5 papers🏢YahooLondon · United Kingdom2010–2012 · 5 papers🏢IBMArmonk · United States2003–2018 · 3 papers

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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds (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 (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 ↗International Conference on Machine Learning · no summary yetKilian Q. Weinberger et al.2009 · 958 citations
2. Cover trees for nearest neighbor ↗International Conference on Machine Learning · no summary yetAlina Beygelzimer, Sham M. Kakade, John C. Langford2006 · 825 citations
3. PAC model-free reinforcement learning ↗International Conference on Machine Learning · no summary yetAlexander L. Strehl et al.2006 · 389 citations
4. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower BoundsInternational Conference on Learning Representations (ICLR)Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, et al.2019 · 362 citations
5. Importance Weighted Active Learning ↗arXiv:0812.4952 · no summary yetAlina Beygelzimer, Sanjoy Dasgupta, John Langford2008 · 286 citations
6. Agnostic active learning ↗International Conference on Machine Learning · no summary yetMaria-Florina Balcan, Alina Beygelzimer, John C. Langford2006 · 276 citations
7. Mapping Instructions and Visual Observations to Actions with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Dipendra Misra, John Langford, Yoav Artzi2017 · 255 citations
8. Multi-Label Prediction via Compressed Sensing ↗neural information processing systems · no summary yetJohn C. Langford et al.2009 · 255 citations
9. Slow Learners are Fast ↗neural information processing systems · no summary yetMartin Zinkevich, John C. Langford, Alex J. Smola2009 · 196 citations
10. Error limiting reductions between classification tasks ↗International Conference on Machine Learning · no summary yetAlina Beygelzimer et al.2005 · 64 citations
11. Relating reinforcement learning performance to classification performance ↗International Conference on Machine Learning · no summary yetJohn C. Langford, Bianca Zadrozny2005 · 60 citations
12. Learning nonlinear dynamic models ↗International Conference on Machine Learning · no summary yetJohn C. Langford, Ruslan Salakhutdinov, Tong Zhang2009 · 30 citations

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Alekh Agarwal
• Dipendra Misra
• 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): EMNLP 2017
• International Conference on Learning Representations (ICLR): 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 →.

Updated 2 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/john-c-langford/