Daniel Hsu
Orcid: 0000-0002-3495-7113Affiliations:
- Columbia University, Department of Computer Science, NY, USA
- Rutgers University, Rutgers University, NY, USA (former)
- University of California, San Diego, CA, USA (PhD 2010)
According to our database1,
Daniel Hsu
authored at least 124 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning.
Proceedings of the International Conference on Machine Learning, 2022
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Inf. Theory, 2021
J. Mach. Learn. Res., 2021
Classification vs regression in overparameterized regimes: Does the loss function matter?
J. Mach. Learn. Res., 2021
Bayesian decision-making under misspecified priors with applications to meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Support vector machines and linear regression coincide with very high-dimensional features.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Algorithmic Learning Theory, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021
2020
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only.
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020
2019
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform.
ACM SIGOPS Oper. Syst. Rev., 2019
CoRR, 2019
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization.
Proceedings of the 36th International Conference on Machine Learning, 2019
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019
2018
J. Am. Medical Informatics Assoc., 2018
On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Conference On Learning Theory, 2018
2017
SIAM J. Matrix Anal. Appl., 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE European Symposium on Security and Privacy, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
2016
Trans. Assoc. Comput. Linguistics, 2016
J. Mach. Learn. Res., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Successive Rank-One Approximations for Nearly Orthogonally Decomposable Symmetric Tensors.
SIAM J. Matrix Anal. Appl., 2015
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity.
J. Mach. Learn. Res., 2015
Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit.
CoRR, 2015
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
J. Mach. Learn. Res., 2014
J. Mach. Learn. Res., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Learning mixtures of spherical gaussians: moment methods and spectral decompositions.
Proceedings of the Innovations in Theoretical Computer Science, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the COLT 2013, 2013
2012
Proceedings of the COLT 2012, 2012
CoRR, 2012
Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the COLT 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
CoRR, 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
2004
Proceedings of the 2004 Conference on Human Factors in Computing Systems, 2004