Jason Xu
10 papers · 2014–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (15)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(9)
🏆
Keyword Champion
💎
Century Club
(10)
📈
Trend Setter
🔥
Unstoppable
(5)
Conferences
NIPS (4)
AISTATS (3)
ICML (2)
AAAI (1)
Top co-authors
Research topics
Keywords
k-means clustering
(3)
bayesian inference
(2)
constrained learning
(2)
variational inference
(1)
constraint satisfaction
(1)
uncertainty quantification
(1)
natural language processing
(1)
time series
(1)
sparse regression
(1)
posterior inference
(1)
bayesian analysis
(1)
mcmc sampling
(1)
strongly convex
(1)
sparse optimization
(1)
prior distribution
(1)
semantic representation
(1)
stochastic variational inference
(1)
hidden markov model
(1)
generalized linear model
(1)
stochastic optimization
(1)
Papers
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
NIPS 2021
Simple and Scalable Sparse k-means Clustering via Feature Ranking
NIPS 2020
Entropy Weighted Power k-Means Clustering
AISTATS 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
NIPS 2017
Stochastic variational inference for hidden Markov models
NIPS 2014