James Sharpnack
Orcid: 0000-0002-7193-0972Affiliations:
- University of California, Davis
- University of California, San Diego, Department of Mathematics (former)
- Carnegie Mellon University, Machine Learning Department (former)
According to our database1,
James Sharpnack
authored at least 34 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2023
IEEE Trans. Inf. Theory, June, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms.
CoRR, 2021
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Conference On Learning Theory, 2018
2017
J. Mach. Learn. Res., 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
IEEE Trans. Signal Process., 2016
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
Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
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