James McQueen
5 papers · 2016–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(4)
Core Methods
(3)
Mathematics
(2)
Optimization
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
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
NeurIPS 2017
Megaman: Scalable Manifold Learning in Python
JMLR 2016
Nearly Isometric Embedding by Relaxation
NeurIPS 2016