Daniel Hsu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Approximation Methods

Imitation Learning

Top Venues

Publications

Zixuan Wang, Stanley Wei, Daniel Hsu, Jason D. Lee
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot. CoRR (2024)
Daniel Hsu, Jizhou Huang, Brendan Juba
Polynomial time auditing of statistical subgroup fairness for Gaussian data. CoRR (2024)
Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. CoRR (2022)
Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski
Masked prediction tasks: a parameter identifiability view. CoRR (2022)
Navid Ardeshir, Clayton Sanford, Daniel Hsu
Support vector machines and linear regression coincide with very high-dimensional features. CoRR (2021)
Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
On the Approximation Power of Two-Layer Networks of Random ReLUs. CoRR (2021)
Daniel Hsu, Clayton H. Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
On the Approximation Power of Two-Layer Networks of Random ReLUs. COLT (2021)
Daniel Hsu
A New Framework for Query Efficient Active Imitation Learning. CoRR (2019)
Daniel Hsu
Time Series Forecasting Based on Augmented Long Short-Term Memory. CoRR (2017)
Daniel Hsu
Anomaly Detection on Graph Time Series. CoRR (2017)
Daniel Hsu
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder. CoRR (2017)