Daniel LeJeune

33 papers A* 5A 4Misc 3Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. J. Mach. Learn. Res. Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
2024	—	`conf`	An Adaptive Tangent Feature Perspective of Neural Networks. CPAL Daniel LeJeune, Sina Alemohammad
2024	A*	`conf`	Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning. ICLR Pratik Patil, Daniel LeJeune
2024	J	`jnl`	Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
2024	J	`jnl`	Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. CoRR Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
2024	J	`jnl`	Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization. J. Mach. Learn. Res. Daniel LeJeune, Jiayu Liu, Reinhard Heckel
2024	J	`jnl`	RandALO: Out-of-sample risk estimation in no time flat. CoRR Parth Nobel, Daniel LeJeune, Emmanuel J. Candès
2024	A*	`conf`	Self-Consuming Generative Models Go MAD. ICLR Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2024	J	`jnl`	The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression. SIAM J. Math. Data Sci. Yehuda Dar, Daniel LeJeune, Richard G. Baraniuk
2024	Misc	`conf`	Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2023	A	`conf`	A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2023	J	`jnl`	An Adaptive Tangent Feature Perspective of Neural Networks. CoRR Daniel LeJeune, Sina Alemohammad
2023	J	`jnl`	Self-Consuming Generative Models Go MAD. CoRR Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2023	A*	`conf`	WIRE: Wavelet Implicit Neural Representations. CVPR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2023	J	`jnl`	WIRE: Wavelet Implicit Neural Representations. CoRR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2022	J	`jnl`	Asymptotics of the Sketched Pseudoinverse. CoRR Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
2022	J	`jnl`	Benign Overparameterization in Membership Inference with Early Stopping. CoRR Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2022	J	`jnl`	Extreme Compressed Sensing of Poisson Rates From Multiple Measurements. IEEE Trans. Signal Process. Pavan K. Kota, Daniel LeJeune, Rebekah A. Drezek, Richard G. Baraniuk
2022	J	`jnl`	Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization. CoRR Daniel LeJeune, Jiayu Liu, Reinhard Heckel
2021	—	`conf`	Minipatch Learning as Implicit Ridge-Like Regularization. BigComp Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen
2021	A*	`conf`	The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. NeurIPS Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2021	J	`jnl`	The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. CoRR Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2021	Misc	`conf`	Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP 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
2020	A	`conf`	The Implicit Regularization of Ordinary Least Squares Ensembles. AISTATS Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2020	A	`conf`	Thresholding Graph Bandits with GrAPL. AISTATS Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
2020	J	`jnl`	Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR 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
2019	A	`conf`	Adaptive Estimation for Approximate AISTATS Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk
2019	J	`jnl`	Adaptive Estimation for Approximate k-Nearest-Neighbor Computations. CoRR Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel
2019	J	`jnl`	The Implicit Regularization of Ordinary Least Squares Ensembles. CoRR Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2019	J	`jnl`	Thresholding Graph Bandits with GrAPL. CoRR Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
2018	A*	`conf`	MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. ICML Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
2018	J	`jnl`	MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. CoRR Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
2018	Misc	`conf`	Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection. FLAIRS Jason Matterer, Daniel LeJeune