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Zhang, Richard Y.

  1. Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
    2022/06/07 by Gavin Zhang, Salar Fattahi, Zhang, Gavin +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  2. A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
    2018/05/21 by Cédric Josz, Yi Ouyang, Josz, Cedric +7 · 3 citations
    Computer Science · Engineering · Mathematics · #90C26 #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
  3. How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
    2018/05/25 by Zhang, Richard Y., Josz, Cédric, Sojoudi, Somayeh +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  4. Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
    2023/05/29 by Yubo Zhuang, Zhuang, Yubo, Xiaohui Chen +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
  5. Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
    2025/04/13 by Jialun Zhang, Salar Fattahi, Zhang, Gavin +3 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  6. Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
    2021/04/21 by Zhang, Richard Y. · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  7. SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
    2025/06/07 by Hong-Ming Chiu, Chiu, Hong-Ming, Chen, Hao +4 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Physical Unclonable Functions (PUFs) and Hardware Security #Stochastic Gradient Optimization Techniques
  8. Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
    2022/08/24 by Gavin Zhang, Zhang, Gavin, Hong-Ming Chiu +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  9. Simple Alternating Minimization Provably Solves Complete Dictionary Learning
    2022/10/23 by Geyu Liang, Liang, Geyu, Gavin Zhang +5 · 1 citation
    Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Ultrasonics and Acoustic Wave Propagation #electronic engineering #information engineering