Publications

Generative Marginalization Models. Paper | Code | Video
Sulin Liu, Peter J. Ramadge, Ryan P. Adams.
Submitted, 2023.
short version at ICML Workshop on Workshop on Structured Probabilistic Inference & Generative Modeling. (Contributed talk, 6/125)

Sparse Bayesian Optimization. Paper | Code | Tutorial | Video
Sulin Liu* (equal contr.), Qing Feng*, David Eriksson*, Benjamin Letham, Eytan Bakshy.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

ProBF : Probabilistic Safety Certificates with Barrier Functions. Paper | Code
Athindran Ramesh Kumar*, Sulin Liu* (equal contr., random order), Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge. Preprint, 2021.
short version at NeurIPS Safe and Robust Control of Uncertain Systems Workshop, 2021.

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters. Paper | Code | Slides | Video
Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams.
Advances in Neural Information Processing Systems (NeurIPS), 2020.

Revisiting the Landscape of Matrix Factorization. Paper | Video
Hossein Valavi, Sulin Liu, Peter J. Ramadge.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

Data Poisoning Attacks on Multi-Task Relationship Learning. Paper
Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan.
AAAI Conference on Artificial Intelligence (AAAI), 2018.

Adaptive Group Sparse Multi-task Learning via Trace Lasso. Paper
Sulin Liu, Sinno Jialin Pan.
International Joint Conference on Artificial Intelligence (IJCAI), 2017.

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problems. Paper
Yaodong Yu*, Sulin Liu* (equal contr.), Sinno Jialin Pan.
Conference on Uncertainty in Artificial Intelligence (UAI), 2017.

Distributed Multi-Task Relationship Learning. Paper | Video
Sulin Liu, Sinno Jialin Pan, Qirong Ho.
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017.