Julian Katz-Samuels

According to our database1, Julian Katz-Samuels authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HYPO: Hyperspherical Out-of-Distribution Generalization.
CoRR, 2024

2022
GALAXY: Graph-based Active Learning at the Extreme.
Proceedings of the International Conference on Machine Learning, 2022

Training OOD Detectors in their Natural Habitats.
Proceedings of the International Conference on Machine Learning, 2022

Near Instance Optimal Model Selection for Pure Exploration Linear Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Algorithms for Agnostic Pool-based Active Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021

High-dimensional Experimental Design and Kernel Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

Experimental Design for Regret Minimization in Linear Bandits.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The True Sample Complexity of Identifying Good Arms.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Decontamination of Mutual Contamination Models.
J. Mach. Learn. Res., 2019

Top Feasible Arm Identification.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Feasible Arm Identification.
Proceedings of the 35th International Conference on Machine Learning, 2018

Nonparametric Preference Completion.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016
The Legislative Influence Detector: Finding Text Reuse in State Legislation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016


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