← Authors

John Shawe-Taylor

26 papers · 2001–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (48) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (24) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🌟 Keyword Trendsetter Combo (6) 🌱 Topic Pioneer πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (133) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

JMLR (11) AAAI (6) AISTATS (2) NIPS (2) ACML (1) EMNLP (1) ICML (1) IJCAI (1) NAACL (1)

Top co-authors

Maria Perez-Ortiz (4) Simon Schmitt (3) Emine Yilmaz (3) Sahan Bulathwela (3) Hado van Hasselt (3) Sandor Szedmak (2) Csaba SzepesvΓ‘ri (2) Mario Marchand (2) Craig Saunders (2) Omar Rivasplata (2)

Research topics

Analysis (1) Statistics (1) Education (1)

Keywords

kernel methods (4) support vector machine (4) pac-bayes bound (3) bayesian inference (3) generalization bound (3) set covering machine (2) text classification (2) model selection (2) string kernel (2) subsequence kernel (2) epistemic uncertainty (2) semi-supervised learning (2) recommender system (2) knowledge tracing (2) educational recommendation (2) dynamic programming (2) feature selection (1) sparse learning (1) probabilistic modeling (1) reinforcement learning (1)

Papers

Human-AI Coevolution (Abstract Reprint) IJCAI 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
A Toolbox for Modelling Engagement with Educational Videos AAAI 2024
Exploration via Epistemic Value Estimation AAAI 2023
Chaining Value Functions for Off-Policy Learning AAAI 2022
Tighter Risk Certificates for Neural Networks JMLR 2021
PAC-Bayes Analysis Beyond the Usual Bounds NIPS 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources AAAI 2020
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract) AAAI 2020
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding EMNLP 2018
Localized Lasso for High-Dimensional Regression AISTATS 2017
Smooth Operators ICML 2013
PAC-Bayes Bounds with Data Dependent Priors JMLR 2012
Data dependent kernels in nearly-linear time AISTATS 2012
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning JMLR 2011
Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010
Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010
Kernel Regression Based Machine Translation NAACL 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005
Introduction to the Special Issue on Machine Learning Methods for Text and Images JMLR 2003
The Set Covering Machine JMLR 2002
Text Classification using String Kernels JMLR 2002
Introduction to the Special Issue on Kernel Methods JMLR 2001