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 | 41 | 2018 |
The implicit regularization of ordinary least squares ensembles D LeJeune, H Javadi, R Baraniuk International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020 | 33 | 2020 |
Implicit Rugosity Regularization via Data Augmentation D LeJeune, R Balestriero, H Javadi, RG Baraniuk arXiv preprint arXiv:1905.11639, 2019 | 17 | 2019 |
Adaptive Estimation for Approximate -Nearest-Neighbor Computations D LeJeune, R Heckel, R Baraniuk The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 12 | 2019 |
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection J Matterer, D LeJeune The Thirty-First International Flairs Conference, 2018 | 8 | 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 | 5 | 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 | 4 | 2021 |
Thresholding Graph Bandits with GrAPL D LeJeune, G Dasarathy, R Baraniuk International Conference on Artificial Intelligence and Statistics, 2476-2485, 2020 | 4 | 2020 |
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 | 3 | 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 | 3 | 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 | 3 | 2021 |
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 | 1 | 2023 |
WIRE: Wavelet Implicit Neural Representations V Saragadam, D LeJeune, J Tan, G Balakrishnan, A Veeraraghavan, ... arXiv preprint arXiv:2301.05187, 2023 | 1 | 2023 |
Asymptotics of the Sketched Pseudoinverse D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani arXiv preprint arXiv:2211.03751, 2022 | 1 | 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 | 1 | 2022 |
Ridge Regularization by Randomization in Linear Ensembles D LeJeune Rice University, 2022 | | 2022 |
TITAN: Bringing The Deep Image Prior to Implicit Representations D LeJeune, L Luzi, A Siahkoohi, S Alemohammad, V Saragadam, ... arXiv preprint arXiv:2211.00219, 2022 | | 2022 |
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization D LeJeune, J Liu, R Heckel arXiv preprint arXiv:2210.11589, 2022 | | 2022 |
Expanded Multiplexing on Sensor-Constrained Microfluidic Partitioning Systems PK Kota, HA Vu, D LeJeune, M Han, S Syed, RG Baraniuk, RA Drezek bioRxiv, 2022.12. 23.521805, 2022 | | 2022 |