Fred Lu
Orcid: 0000-0003-1026-5734
According to our database1,
Fred Lu
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
CoRR, 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling.
CoRR, 2024
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification.
CoRR, 2024
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
Proceedings of the Conference on Applied Machine Learning in Information Security, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants.
Nat. Mac. Intell., September, 2022
PLoS Comput. Biol., 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Conference on Applied Machine Learning in Information Security, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants.
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
2017