John Shawe-Taylor
26 papers · 2001–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π§ Keyword Pioneer π Academic Marathon (24) π Conference Polyglot (9) π Renaissance Researcher (10)
π
Academic Marathon
(24)
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Interdisciplinary Bridge
π
Cross-Pollinator
(11)
π
Keyword Trendsetter Combo
(6)
π±
Topic Pioneer
π₯
Unstoppable
(6)
π
Century Club
(26)
ποΈ
Keyword Collector
(133)
π
Trend Setter
π
Conference Pioneer
Conferences
JMLR (11)
AAAI (6)
AISTATS (2)
NIPS (2)
ACML (1)
EMNLP (1)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
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