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Zhu, Shenghuo

  1. Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
    2018/07/17 by Hao Yu, Yu, Hao, Sen Yang +3 · 21 citations
    Computer Science · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  2. Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
    2017/07/24 by Cong Leng, Hao Li, Leng, Cong +5 · 27 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
  3. RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
    2018/12/05 by Qingsong Wen, Wen, Qingsong, Jingkun Gao +9 · 9 citations
    Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #electronic engineering #information engineering
  4. Robust Optimization over Multiple Domains
    2018/05/19 by Qi Qian, Qian, Qi, Shenghuo Zhu +9 · 3 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  5. Recovering the Optimal Solution by Dual Random Projection
    2012/11/13 by Lijun Zhang, Zhang, Lijun, Mehrdad Mahdavi +7 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  6. Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
    2012/12/25 by Chang Huang, Shenghuo Zhu, Huang, Chang +3 · 2 citations
    Computer Science · #Face recognition and analysis #Face and Expression Recognition #Advanced Image and Video Retrieval Techniques
  7. Multinomial Logit Bandit with Linear Utility Functions
    2018/05/08 by Ou, Mingdong, Li, Nan, Zhu, Shenghuo +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Similarity Learning via Adaptive Regression and Its Application to Image Retrieval
    2015/12/06 by Qi Qian, İnci M. Baytaş, Qian, Qi +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques
  9. On Data Preconditioning for Regularized Loss Minimization
    2014/08/13 by Tianbao Yang, Rong Jin, Yang, Tianbao +5 · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  10. Analysis of Distributed Stochastic Dual Coordinate Ascent
    2013/12/04 by Tianbao Yang, Yang, Tianbao, Shenghuo Zhu +5 · 2 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Parallel #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  11. A short note on the tail bound of Wishart distribution
    2012/12/24 by Shenghuo Zhu, Zhu, Shenghuo · 1 citation
    Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Probability and Risk Models #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST)