LeJeune, Daniel

12 publications

JMLR 2025 Fine-Grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems Michal Dereziński, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova

CPAL 2024 An Adaptive Tangent Feature Perspective of Neural Networks Daniel LeJeune, Sina Alemohammad

ICLR 2024 Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning Pratik Patil, Daniel LeJeune

JMLR 2024 Monotonic Risk Relationships Under Distribution Shifts for Regularized Risk Minimization Daniel LeJeune, Jiayu Liu, Reinhard Heckel

ICLR 2024 Self-Consuming Generative Models Go MAD Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard Baraniuk

AISTATS 2023 A Blessing of Dimensionality in Membership Inference Through Regularization Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

CVPR 2023 WIRE: Wavelet Implicit Neural Representations Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

NeurIPS 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization Daniel LeJeune, Hamid Javadi, Richard Baraniuk

AISTATS 2020 The Implicit Regularization of Ordinary Least Squares Ensembles Daniel LeJeune, Hamid Javadi, Richard Baraniuk

AISTATS 2020 Thresholding Graph Bandits with GrAPL Daniel LeJeune, Gautam Dasarathy, Richard Baraniuk

AISTATS 2019 Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations Daniel LeJeune, Reinhard Heckel, Richard Baraniuk

ICML 2018 MISSION: Ultra Large-Scale Feature Selection Using Count-Sketches Amirali Aghazadeh, Ryan Spring, Daniel Lejeune, Gautam Dasarathy, Anshumali Shrivastava, Baraniuk