Paul Fearnhead
6 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Mathematics & Optimization
(6)
Machine Learning
(5)
Optimization
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Methods
(1)
Probability
(1)
Research
(1)
Keywords
markov chain monte carlo
(4)
bayesian inference
(3)
piecewise deterministic markov process
(2)
anomaly detection
(1)
supervised learning
(1)
dynamic programming
(1)
variance reduction
(1)
hamiltonian monte carlo
(1)
probability simplex
(1)
multimodal distribution
(1)
stochastic gradient langevin dynamics
(1)
computational cost
(1)
volume computation
(1)
high-dimensional geometry
(1)
sampling algorithm
(1)
langevin diffusion
(1)
peak detection
(1)
genomic data
(1)
penalty learning
(1)
high-dimensional sampling
(1)
Papers
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
JMLR 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
AISTATS 2023
Continuously Tempered PDMP samplers
NeurIPS 2022
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
AISTATS 2022
Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data
JMLR 2020
Large-Scale Stochastic Sampling from the Probability Simplex
NeurIPS 2018