Liu, Allen

10 publications

NeurIPS 2024 Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian

NeurIPS 2023 Constant Approximation for Individual Preference Stable Clustering Anders Aamand, Justin Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang

ICML 2023 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau

COLT 2022 Learning GMMs with Nearly Optimal Robustness Guarantees Allen Liu, Ankur Moitra

NeurIPS 2022 Robust Model Selection and Nearly-Proper Learning for GMMs Allen Liu, Jerry Li, Ankur Moitra

NeurIPSW 2022 Semi-Random Sparse Recovery in Nearly-Linear Time Jonathan Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian

NeurIPS 2021 Margin-Independent Online Multiclass Learning via Convex Geometry Guru Guruganesh, Allen Liu, Jon Schneider, Joshua Wang

COLT 2020 Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation Allen Liu, Ankur Moitra

NeurIPS 2020 Myersonian Regression Allen Liu, Renato Leme, Jon Schneider

NeurIPS 2020 Tensor Completion Made Practical Allen Liu, Ankur Moitra