John Shawe-Taylor
Professor
Researches statistical learning theory and kernel methods, and leads AI for sustainable development work as UNESCO Chair in AI.
John Shawe-Taylor's lab at UCL works on learning theory & optimization. 12 papers since 2023, 6 at top venues, mostly AAAI and Artificial Intelligence.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 50%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 3
- 3 papers2024 · T1 2
- 4 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, Artificial Intelligence, IJCAI, NeurIPS, Neurocomputing
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- sustainable0 papers
- kernel0 papers
- kernel methods0 papers
- development0 papers
Paper list
From DBLP.
20262 papers
20253 papers
- AAAI (T1)General Uncertainty Estimation with Delta Variances (opens in a new tab)
- Artificial Intelligence (T1)Human-AI coevolution (opens in a new tab)
- IJCAI (T1)Human-AI Coevolution (Abstract Reprint) (opens in a new tab)
20243 papers
- AAAI (T1)A Toolbox for Modelling Engagement with Educational Videos (opens in a new tab)
- NeurIPS (T1)Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound (opens in a new tab)
- Knowl. Based Syst.Transfer and zero-shot learning for scalable weed detection and classification in UAV images (opens in a new tab)
20234 papers
- AAAI (T1)Exploration via Epistemic Value Estimation (opens in a new tab)
- Frontiers Comput. Sci.From fear to action: AI governance and opportunities for all (opens in a new tab)
- NeurocomputingModel validation using mutated training labels: An exploratory study (opens in a new tab)
- Int. J. Hum. Comput. Stud.Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USUIUC
Venugopal V. Veeravalli
- Learning theory & optimization
- USUCSD
Tianhao Wang
- Learning theory & optimization
- USUW
Lillian Ratliff
- Learning theory & optimization
- CNSJTU
Tao Huang
- Efficient training & inference
- CHEPFL
Caglar Gulcehre
- Reinforcement learning
- SGNUS
Mehul Motani
- Signal processing & information theory
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.