Kaplan, Atara

1. Improved Complexities of Conditional Gradient-Type Methods with Applications to Robust Matrix Recovery Problems
   2018/02/15 by Dan Garber, Shoham Sabach, Garber, Dan +3 · 5 citations
   Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
   2020/12/18 by Garber, Dan, Kaplan, Atara · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
3. Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
   2022/02/08 by Dan Garber, Atara Kaplan, Garber, Dan +1 · 1 citation
   Computer Science · Engineering · #Advanced Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
4. Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
   2022/06/23 by Dan Garber, Garber, Dan, Atara Kaplan +1 · 1 citation
   Computer Science · Engineering · #Advanced Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
5. Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems
   2018/09/27 by Dan Garber, Garber, Dan, Atara Kaplan +1 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques