Daniel LeJeune
Daniel LeJeune
Verifierad e-postadress på stanford.edu - Startsida
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Wire: Wavelet implicit neural representations
V Saragadam, D LeJeune, J Tan, G Balakrishnan, A Veeraraghavan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Self-Consuming Generative Models Go MAD
S Alemohammad, J Casco-Rodriguez, L Luzi, AI Humayun, H Babaei, ...
arXiv preprint arXiv:2307.01850, 2023
The implicit regularization of ordinary least squares ensembles
D LeJeune, H Javadi, R Baraniuk
International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020
Mission: Ultra large-scale feature selection using count-sketches
A Aghazadeh, R Spring, D Lejeune, G Dasarathy, A Shrivastava
International Conference on Machine Learning, 80-88, 2018
Implicit Rugosity Regularization via Data Augmentation
D LeJeune, R Balestriero, H Javadi, RG Baraniuk
arXiv preprint arXiv:1905.11639, 2019
Adaptive Estimation for Approximate -Nearest-Neighbor Computations
D LeJeune, R Heckel, R Baraniuk
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
A Blessing of Dimensionality in Membership Inference through Regularization
J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk
International Conference on Artificial Intelligence and Statistics, 10968-10993, 2023
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection
J Matterer, D LeJeune
The Thirty-First International Flairs Conference, 2018
Minipatch Learning as Implicit Ridge-Like Regularization
T Yao, D LeJeune, H Javadi, RG Baraniuk, GI Allen
2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
D LeJeune, H Javadi, R Baraniuk
Advances in Neural Information Processing Systems 34, 23401-23412, 2021
Thresholding Graph Bandits with GrAPL
D LeJeune, G Dasarathy, R Baraniuk
International Conference on Artificial Intelligence and Statistics, 2476-2485, 2020
Asymptotics of the Sketched Pseudoinverse
D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani
arXiv preprint arXiv:2211.03751, 2022
Extreme Compressed Sensing of Poisson Rates from Multiple Measurements
PK Kota, D LeJeune, RA Drezek, RG Baraniuk
IEEE Transactions on Signal Processing 70, 2388-2401, 2022
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
D LeJeune, J Liu, R Heckel
arXiv preprint arXiv:2210.11589, 2022
Wearing a mask: Compressed representations of variable-length sequences using recurrent neural tangent kernels
S Alemohammad, H Babaei, R Balestriero, MY Cheung, AI Humayun, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
The common intuition to transfer learning can win or lose: Case studies for linear regression
Y Dar, D LeJeune, RG Baraniuk
arXiv preprint arXiv:2103.05621, 2021
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning
P Patil, D LeJeune
arXiv preprint arXiv:2310.04357, 2023
Ridge Regularization by Randomization in Linear Ensembles
D LeJeune
Rice University, 2022
Benign Overparameterization in Membership Inference with Early Stopping
J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk
arXiv preprint arXiv:2205.14055, 2022
An Adaptive Tangent Feature Perspective of Neural Networks
D LeJeune, S Alemohammad
Conference on Parsimony and Learning, 379-394, 2024
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Artiklar 1–20