Lamperski, Andrew

4 publications

NeurIPS 2022 Constrained Langevin Algorithms with L-Mixing External Random Variables Yuping Zheng, Andrew Lamperski

COLT 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning Andrew Lamperski

ICML 2019 Online Adaptive Principal Component Analysis and Its Extensions Jianjun Yuan, Andrew Lamperski

NeurIPS 2018 Online Convex Optimization for Cumulative Constraints Jianjun Yuan, Andrew Lamperski