Johannes Lederer
Orcid: 0000-0002-5369-3053
According to our database1,
Johannes Lederer
authored at least 34 papers
between 2013 and 2024.
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
2023
J. Comput. Graph. Stat., January, 2023
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression.
IEEE Trans. Inf. Theory, 2023
Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming.
CoRR, 2023
2022
CoRR, 2022
CoRR, 2022
Adv. Data Anal. Classif., 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data.
Entropy, 2021
Comput. Stat. Data Anal., 2021
Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks.
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
No Spurious Local Minima: on the Optimization Landscapes of Wide and Deep Neural Networks.
CoRR, 2020
2016
J. Mach. Learn. Res., 2016
CoRR, 2016
2015
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEEE Trans. Inf. Theory, 2014
2013