Xu, Jason

11 publications

AISTATS 2023 Distance-to-Set Priors and Constrained Bayesian Inference Rick Presman, Jason Xu

AISTATS 2023 Fast Computation of Branching Process Transition Probabilities via ADMM Achal Awasthi, Jason Xu

AAAI 2022 Interactive Visualizations of Word Embeddings for K-12 Students Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David S. Touretzky

NeurIPS 2021 Uniform Concentration Bounds Toward a Unified Framework for Robust Clustering Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu

AISTATS 2020 Entropy Weighted Power K-Means Clustering Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu

NeurIPS 2020 Simple and Scalable Sparse K-Means Clustering via Feature Ranking Zhiyue Zhang, Kenneth Lange, Jason Xu

ICML 2019 Power K-Means Clustering Jason Xu, Kenneth Lange

ICML 2019 Projection onto Minkowski Sums with Application to Constrained Learning Joong-Ho Won, Jason Xu, Kenneth Lange

NeurIPS 2017 Generalized Linear Model Regression Under Distance-to-Set Penalties Jason Xu, Eric Chi, Kenneth Lange

UAI 2015 Effcient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing Jason Xu, Vladimir N. Minin

NeurIPS 2014 Stochastic Variational Inference for Hidden Markov Models Nicholas Foti, Jason Xu, Dillon Laird, Emily B. Fox