Haupt, Jarvis

1. Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
   2016/05/09 by Li, Xingguo, Arora, Raman, Liu, Han +2 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
2. Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring
   2017/08/29 by Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Elyaderani, Mojtaba Kadkhodaie +7 · 2 citations
   Engineering · Decision Sciences · #Structural Health Monitoring Techniques #Sparse and Compressive Sensing Techniques #Probabilistic and Robust Engineering Design
3. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
   2010/01/29 by Haupt, Jarvis, Castro, Rui, Nowak, Robert · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
   2016/12/29 by Xingguo Li, Li, Xingguo, Junwei Lu +11 · 4 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Optical measurement and interference techniques #Medical Image Segmentation Techniques
5. On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
   2018/06/13 by Li, Xingguo, Lu, Junwei, Wang, Zhaoran +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. NOODL: Provable Online Dictionary Learning and Sparse Coding
   2019/02/28 by Rambhatla, Sirisha, Li, Xingguo, Haupt, Jarvis · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
7. Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
   2024/03/12 by Akshay Kumar, Kumar, Akshay, Jarvis Haupt +1 · 1 citation
   Computer Science · #Neural Networks and Applications