متابعة
Daniel LeJeune
Daniel LeJeune
Stanford University
بريد إلكتروني تم التحقق منه على stanford.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Self-Consuming Generative Models Go MAD‏
S Alemohammad, J Casco-Rodriguez, L Luzi, AI Humayun, H Babaei, ...‏
arXiv preprint arXiv:2307.01850, 2023‏
1512023
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
1272023
The implicit regularization of ordinary least squares ensembles‏
D LeJeune, H Javadi, R Baraniuk‏
International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020‏
592020
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
442018
Implicit Rugosity Regularization via Data Augmentation‏
D LeJeune, R Balestriero, H Javadi, RG Baraniuk‏
arXiv preprint arXiv:1905.11639, 2019‏
202019
Adaptive Estimation for Approximate -Nearest-Neighbor Computations‏
D LeJeune, R Heckel, R Baraniuk‏
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019‏
192019
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
182023
Asymptotics of the sketched pseudoinverse‏
D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani‏
SIAM Journal on Mathematics of Data Science 6 (1), 199-225, 2024‏
142024
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection‏
J Matterer, D LeJeune‏
The Thirty-First International Flairs Conference, 2018‏
142018
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
122021
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression‏
Y Dar, D LeJeune, RG Baraniuk‏
SIAM Journal on Mathematics of Data Science 6 (2), 454-480, 2024‏
72024
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning‏
P Patil, D LeJeune‏
arXiv preprint arXiv:2310.04357, 2023‏
72023
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
72021
Thresholding Graph Bandits with GrAPL‏
D LeJeune, G Dasarathy, R Baraniuk‏
International Conference on Artificial Intelligence and Statistics, 2476-2485, 2020‏
72020
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
52022
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems‏
M Dereziński, D LeJeune, D Needell, E Rebrova‏
arXiv preprint arXiv:2405.05818, 2024‏
42024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization‏
D LeJeune, J Liu, R Heckel‏
Journal of Machine Learning Research 25 (54), 1-37, 2024‏
42024
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
32021
Ridge Regularization by Randomization in Linear Ensembles‏
D LeJeune‏
Rice University, 2022‏
22022
Benign Overparameterization in Membership Inference with Early Stopping‏
J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk‏
arXiv preprint arXiv:2205.14055, 2022‏
22022
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20