Daniel LeJeune

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Ordinary Least Squares

Ridge Regression

Top Venues

SIAM J. Math. Data Sci.

Publications

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP (2024)
Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. 6 (1) (2024)
Yehuda Dar, Daniel LeJeune, Richard G. Baraniuk
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression. SIAM J. Math. Data Sci. 6 (2) (2024)
Pratik Patil, Daniel LeJeune
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning. ICLR (2024)
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
Self-Consuming Generative Models Go MAD. ICLR (2024)
Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. CoRR (2024)
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
Self-Consuming Generative Models Go MAD. CoRR (2023)
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
WIRE: Wavelet Implicit Neural Representations. CVPR (2023)
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS (2023)
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
WIRE: Wavelet Implicit Neural Representations. CoRR (2023)
Daniel LeJeune, Sina Alemohammad
An Adaptive Tangent Feature Perspective of Neural Networks. CoRR (2023)
Daniel LeJeune, Jiayu Liu, Reinhard Heckel
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization. CoRR (2022)
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Benign Overparameterization in Membership Inference with Early Stopping. CoRR (2022)
Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
Asymptotics of the Sketched Pseudoinverse. CoRR (2022)
Pavan K. Kota, Daniel LeJeune, Rebekah A. Drezek, Richard G. Baraniuk
Extreme Compressed Sensing of Poisson Rates From Multiple Measurements. IEEE Trans. Signal Process. 70 (2022)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. CoRR (2021)
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
Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP (2021)
Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen
Minipatch Learning as Implicit Ridge-Like Regularization. BigComp (2021)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. NeurIPS (2021)
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
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR (2020)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Implicit Regularization of Ordinary Least Squares Ensembles. AISTATS (2020)
Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
Thresholding Graph Bandits with GrAPL. AISTATS (2020)
Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk
Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations. AISTATS (2019)
Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
Thresholding Graph Bandits with GrAPL. CoRR (2019)
Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations. CoRR (2019)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Implicit Regularization of Ordinary Least Squares Ensembles. CoRR (2019)
Jason Matterer, Daniel LeJeune
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection. FLAIRS Conference (2018)
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. CoRR (2018)
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. ICML (2018)