← Authors

Jason Xu

10 papers · 2014–2023 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (26) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) πŸ† Keyword Champion πŸ’Ž Century Club (10) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5)

Conferences

NIPS (4) AISTATS (3) ICML (2) AAAI (1)

Top co-authors

Kenneth Lange (4) Debolina Paul (2) Saptarshi Chakraborty (2) Swagatam Das (2) Nicholas Foti (1) Saptarashmi Bandyopadhyay (1) Achal Awasthi (1) Joong-Ho Won (1) Zhiyue Zhang (1) Rick Presman (1)

Research topics

Education (1)

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