Daniel Hsu
47 papers · 2011–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 19 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Daniel Hsu?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Animashree Anandkumar, Sham M. Kakade, Matus Telgarsky
13 papers
· 2012–2024
· JMLR, ICML, COLT
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Transformers, parallel computation, and logarithmic depth
ICML 2024
Generalization bounds via distillation
ICLR 2021
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
ICML 2019
Loss Minimization and Parameter Estimation with Heavy Tails
JMLR 2016
Learning Sparse Low-Threshold Linear Classifiers
JMLR 2015
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
JMLR 2015
A Tensor Approach to Learning Mixed Membership Community Models
JMLR 2014
Heavy-tailed regression with a generalized median-of-means
ICML 2014
Tensor Decompositions for Learning Latent Variable Models
JMLR 2014
A Tensor Spectral Approach to Learning Mixed Membership Community Models
COLT 2013
Learning Linear Bayesian Networks with Latent Variables
ICML 2013
A Method of Moments for Mixture Models and Hidden Markov Models
COLT 2012
Random Design Analysis of Ridge Regression
COLT 2012
10 papers whose co-authors appear nowhere else under this name
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
AISTATS 2025
Algorithmic Learning Theory 2024: Preface
ALT 2024
On the sample complexity of parameter estimation in logistic regression with normal design
COLT 2024
Simple and near-optimal algorithms for hidden stratification and multi-group learning
ICML 2022
On the Approximation Power of Two-Layer Networks of Random ReLUs
COLT 2021
Conference on Learning Theory 2019: Preface
COLT 2019
Teaching a black-box learner
ICML 2019
Parameter identification in Markov chain choice models
ALT 2017
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
ICML 2014
Sample Complexity Bounds for Differentially Private Learning
COLT 2011