Daniel LeJeune

1. Self-Consuming Generative Models Go MAD
   2023/07/04 by Sina Alemohammad, Josue Casco-Rodriguez, Alemohammad, Sina +13 · 20 voices · 52 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis
2. The Implicit Regularization of Ordinary Least Squares Ensembles
   2019/10/10 by Daniel LeJeune, Hamid Javadi, LeJeune, Daniel +3 · 4 citations
   Computer Science · Engineering · #Face and Expression Recognition #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
3. MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
   2018/06/12 by Amirali Aghazadeh, Aghazadeh, Amirali, Ryan Spring +9 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
   2024/05/09 by Michał Dereziński, Dereziński, Michał, Daniel LeJeune +5 · 4 citations
   Computer Science · Engineering · #Data Structures and Algorithms (cs.DS) #Digital Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
5. Thresholding Graph Bandits with GrAPL
   2019/05/22 by Daniel LeJeune, Gautam Dasarathy, LeJeune, Daniel +3 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
6. The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression
   2021/03/09 by Yehuda Dar, Daniel LeJeune, Dar, Yehuda +3 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and ELM
7. Asymptotics of the Sketched Pseudoinverse
   2022/11/07 by Daniel LeJeune, Pratik Patil, LeJeune, Daniel +7 · 1 citation
   Computer Science · Mathematics · #15B52 #46L54 #62J07 #Advanced Combinatorial Mathematics #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Random Matrices and Applications #Statistics Theory (math.ST)
8. Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
   2022/10/20 by Daniel LeJeune, Jiayu Liu, LeJeune, Daniel +3 · 1 citation
   Engineering · Mathematics · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference