Jiaming Xu
Orcid: 0000-0001-6104-4742Affiliations:
- Duke University, Fuqua School of Business, Durham, NC, USA
- Purdue University, Krannert School of Management, West Lafayette, IN, USA (2016 - 2018)
- University of Pennsylvania, Wharton School, Department of Statistics, Philadelphia, PA, USA (2015)
- University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA (PhD 2014)
- University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA (until 2011)
According to our database1,
Jiaming Xu
authored at least 78 papers
between 2010 and 2025.
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Bibliography
2025
The Planted Spanning Tree Problems: Exact Overlap Characterization via Local Weak Convergence Extended Abstract.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025
2024
IEEE Trans. Inf. Theory, September, 2024
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent.
J. Mach. Learn. Res., 2024
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms.
CoRR, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
2023
Found. Comput. Math., October, 2023
Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.
Found. Comput. Math., October, 2023
J. Mach. Learn. Res., 2023
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Inf. Theory, 2022
Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.
Oper. Res., 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
IEEE Trans. Inf. Theory, 2021
Proc. ACM Meas. Anal. Comput. Syst., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Random Struct. Algorithms, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proc. ACM Meas. Anal. Comput. Syst., 2019
Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.
CoRR, 2019
CoRR, 2019
Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Information-Theoretic Bounds and Phase Transitions in Clustering, Sparse PCA, and Submatrix Localization.
IEEE Trans. Inf. Theory, 2018
Recovering a hidden community beyond the Kesten-Stigum threshold in O(|E|log*|V|) time.
J. Appl. Probab., 2018
Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits.
CoRR, 2018
Integrating Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent.
Proc. ACM Meas. Anal. Comput. Syst., 2017
2016
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices.
J. Mach. Learn. Res., 2016
Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization.
CoRR, 2016
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
2015
IEEE Trans. Netw. Sci. Eng., 2015
Recovering a Hidden Community Beyond the Spectral Limit in O(|E|log<sup>*</sup>|V|) Time.
CoRR, 2015
CoRR, 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 2015 IEEE Information Theory Workshop, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Achieving exact cluster recovery threshold via semidefinite programming under the stochastic block model.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
PhD thesis, 2014
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting.
Proceedings of the 31th International Conference on Machine Learning, 2014
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results.
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
2012
IEEE Trans. Wirel. Commun., 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
IEEE Trans. Wirel. Commun., 2011
Proceedings of IEEE International Conference on Communications, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Proceedings of the Global Communications Conference, 2010