Sahand Negahban
Affiliations:- Yale University, New Haven, CT, USA
According to our database1,
Sahand Negahban
authored at least 36 papers
between 2008 and 2021.
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Bibliography
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Conference on Learning Theory, 2020
2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Understanding adversarial training: Increasing local stability of supervised models through robust optimization.
Neurocomputing, 2018
CoRR, 2018
Proceedings of the Nursing Informatics 2018, 2018
Proceedings of the Nursing Informatics 2018, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
2015
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization.
CoRR, 2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
2012
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise.
J. Mach. Learn. Res., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 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
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions.
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
Scaling multiple-source entity resolution using statistically efficient transfer learning.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block <sub>1</sub>/ <sub>INFINITY </sub> -Regularization.
IEEE Trans. Inf. Theory, 2011
Fast global convergence of gradient methods for high-dimensional statistical recovery
CoRR, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery.
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
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Simultaneous support recovery in high dimensions: Benefits and perils of block l<sub>1</sub>/l<sub>infinity</sub>-regularization
CoRR, 2009
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers.
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
Proceedings of the Advances in Neural Information Processing Systems 21, 2008