Jason Xu
11 papers · 2014–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(60)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(6)
Core Methods
(6)
Optimization
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types
(3)
Interdisciplinary
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Education
(1)
Keywords
k-means clustering
(4)
bayesian inference
(2)
uncertainty quantification
(2)
constrained learning
(2)
natural language processing
(1)
constraint satisfaction
(1)
variational inference
(1)
prior distribution
(1)
posterior sampling
(1)
time series
(1)
sparse regression
(1)
posterior inference
(1)
semantic representation
(1)
center-based clustering
(1)
outlier robustness
(1)
mcmc sampling
(1)
strongly convex
(1)
sparse optimization
(1)
convex optimization
(1)
stochastic optimization
(1)
Papers
Constrained Weighted Bayesian Bootstrap
UAI 2026
Distance-to-Set Priors and Constrained Bayesian Inference
AISTATS 2023
Fast Computation of Branching Process Transition Probabilities via ADMM
AISTATS 2023
Interactive Visualizations of Word Embeddings for K-12 Students
AAAI 2022
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
NeurIPS 2021
Entropy Weighted Power k-Means Clustering
AISTATS 2020
Simple and Scalable Sparse k-means Clustering via Feature Ranking
NeurIPS 2020
Power k-Means Clustering
ICML 2019
Projection onto Minkowski Sums with Application to Constrained Learning
ICML 2019
Generalized Linear Model Regression under Distance-to-set Penalties
NeurIPS 2017
Stochastic variational inference for hidden Markov models
NeurIPS 2014