Daniel Hsu

11 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-3495-7113

Department of Computer Science, Columbia University

Publications

• Statistical-computational trade-offs in tensor PCA and related problems via communication complexity — The Annals of Statistics 2024
• Unbiased estimators for random design regression — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Classification vs regression in overparameterized regimes: Does the loss function matter? — Journal of Machine Learning Research 2021
• Contrastive Estimation Reveals Topic Posterior Information to Linear Models — Journal of Machine Learning Research 2021
• Statistical Query Lower Bounds for Tensor PCA — Journal of Machine Learning Research 2021
• Kernel Approximation Methods for Speech Recognition — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Loss Minimization and Parameter Estimation with Heavy Tails — Journal of Machine Learning Research 2016
• Learning Sparse Low-Threshold Linear Classifiers — Journal of Machine Learning Research 2015
• When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity — Journal of Machine Learning Research 2015
• A Tensor Approach to Learning Mixed Membership Community Models — Journal of Machine Learning Research 2014
• Tensor Decompositions for Learning Latent Variable Models — Journal of Machine Learning Research 2014