Daniel LeJeune

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityEmail yang diverifikasi di rice.edu
Hamid JavadiSoftware Engineer, GoogleEmail yang diverifikasi di google.com
Sina AlemohammadPhD Student, Rice UniversityEmail yang diverifikasi di rice.edu
Lorenzo LuziRice UniversityEmail yang diverifikasi di rice.edu
Hossein BabaeiRice UniversityEmail yang diverifikasi di rice.edu
Ali SiahkoohiSimons Postdoctoral Fellow, Rice UniversityEmail yang diverifikasi di rice.edu
Jasper TanVP of Machine Learning, GLASS ImagingEmail yang diverifikasi di glass-imaging.com
Vishwanath SaragadamAssistant Professor, ECE Department, University of California RiversideEmail yang diverifikasi di ucr.edu
Ahmed Imtiaz HumayunRice Univeristy, GoogleEmail yang diverifikasi di google.com
Josue Casco-RodriguezRice UniversityEmail yang diverifikasi di rice.edu
Ashok VeeraraghavanProfessor, ECE, Rice UniversityEmail yang diverifikasi di rice.edu
Guha BalakrishnanAssistant Professor, Rice UniversityEmail yang diverifikasi di rice.edu
Gautam DasarathyAssociate Professor, Electrical Engineering, Arizona State UniversityEmail yang diverifikasi di asu.edu
Randall BalestrieroAI ResearcherEmail yang diverifikasi di brown.edu
Reinhard HeckelTechnical University of Munich and Rice UniversityEmail yang diverifikasi di rice.edu
Pratik PatilUniversity of California BerkeleyEmail yang diverifikasi di berkeley.edu
Blake J MasonPostdoctoral ResearcherEmail yang diverifikasi di rice.edu
Ryan SpringRice UniversityEmail yang diverifikasi di rice.edu
Anshumali ShrivastavaRice University, ThirdAI Corp.Email yang diverifikasi di rice.edu
Amirali AghazadehECE, Georgia TechEmail yang diverifikasi di gatech.edu

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Daniel LeJeune

Stanford University

Email yang diverifikasi di stanford.edu - Beranda

machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Self-Consuming Generative Models Go MAD S Alemohammad, J Casco-Rodriguez, L Luzi, AI Humayun, H Babaei, ... arXiv preprint arXiv:2307.01850, 2023	151	2023
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	127	2023
The implicit regularization of ordinary least squares ensembles D LeJeune, H Javadi, R Baraniuk International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020	59	2020
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	44	2018
Implicit Rugosity Regularization via Data Augmentation D LeJeune, R Balestriero, H Javadi, RG Baraniuk arXiv preprint arXiv:1905.11639, 2019	20	2019
Adaptive Estimation for Approximate -Nearest-Neighbor Computations D LeJeune, R Heckel, R Baraniuk The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	19	2019
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	18	2023
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	14	2024
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection J Matterer, D LeJeune The Thirty-First International Flairs Conference, 2018	14	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	12	2021
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	7	2024
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning P Patil, D LeJeune arXiv preprint arXiv:2310.04357, 2023	7	2023
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	7	2021
Thresholding Graph Bandits with GrAPL D LeJeune, G Dasarathy, R Baraniuk International Conference on Artificial Intelligence and Statistics, 2476-2485, 2020	7	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	5	2022
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	4	2024
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	4	2024
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
Ridge Regularization by Randomization in Linear Ensembles D LeJeune Rice University, 2022	2	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	2	2022

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