James McQueen
5 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (2)
AAAI (1)
AISTATS (1)
JMLR (1)
Top co-authors
Research topics
Keywords
manifold learning
(3)
dimensionality reduction
(2)
graph laplacian
(1)
bayesian inference
(1)
continuous optimization
(1)
nearest neighbor search
(1)
hierarchical model
(1)
riemannian metric
(1)
spectral embedding
(1)
gaussian mixture model
(1)
spectral method
(1)
laplacian eigenmap
(1)
isometric embedding
(1)
online experiment
(1)
laplace-beltrami operator
(1)
online experimentation
(1)
kernel methods
(1)
utility theory
(1)
effect size estimation
(1)
kernel bandwidth
(1)
Papers
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
AAAI 2024
A Bayesian Model for Online Activity Sample Sizes
AISTATS 2022
Improved Graph Laplacian via Geometric Self-Consistency
NIPS 2017
Nearly Isometric Embedding by Relaxation
NIPS 2016
Megaman: Scalable Manifold Learning in Python
JMLR 2016