Daniel LeJeune

According to our database, Daniel LeJeune authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asymptotics of the Sketched Pseudoinverse.

Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani

SIAM J. Math. Data Sci., March, 2024

The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression.

Yehuda Dar, Daniel LeJeune, Richard G. Baraniuk

SIAM J. Math. Data Sci., 2024

Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization.

Daniel LeJeune, Jiayu Liu, Reinhard Heckel

J. Mach. Learn. Res., 2024

RandALO: Out-of-sample risk estimation in no time flat.

Parth Nobel, Daniel LeJeune, Emmanuel J. Candès

CoRR, 2024

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems.

Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova

CoRR, 2024

Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning.

Pratik Patil, Daniel LeJeune

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Consuming Generative Models Go MAD.

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

An Adaptive Tangent Feature Perspective of Neural Networks.

Daniel LeJeune, Sina Alemohammad

Proceedings of the Conference on Parsimony and Learning, 2024

2023

WIRE: Wavelet Implicit Neural Representations.

Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Blessing of Dimensionality in Membership Inference through Regularization.

Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Extreme Compressed Sensing of Poisson Rates From Multiple Measurements.

Pavan K. Kota, Daniel LeJeune, Rebekah A. Drezek, Richard G. Baraniuk

IEEE Trans. Signal Process., 2022

Benign Overparameterization in Membership Inference with Early Stopping.

Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

CoRR, 2022

2021

The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization.

Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.

Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2021

Minipatch Learning as Implicit Ridge-Like Regularization.

Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020

The Implicit Regularization of Ordinary Least Squares Ensembles.

Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Thresholding Graph Bandits with GrAPL.

Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Adaptive Estimation for Approximate k-Nearest-Neighbor Computations.

Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel

CoRR, 2019

Adaptive Estimation for Approximate <i>k</i>-Nearest-Neighbor Computations.

Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.

Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk

Proceedings of the 35th International Conference on Machine Learning, 2018

Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection.

Jason Matterer, Daniel LeJeune

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018