- Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective
2021/10/26 by Nai-Chieh Huang, Ping-Chun Hsieh, Huang, Nai-Chieh +11 · 1 citation
Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Artificial intelligence #Benchmark (surveying) #Computer science #Convergence (economics) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Hinge loss #Machine Learning (cs.LG) #Machine learning #Margin (machine learning) #Mathematical optimization #Mathematics #Perspective (graphical) #Reinforcement Learning in Robotics #Reinforcement learning #Support vector machine
- Coresets for Classification -- Simplified and Strengthened
2021/06/08 by Tung Mai, Mai, Tung, Anup Rao +4 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Class (philosophy) #Combinatorics #Computer science #Data mining #Data point #Discrete mathematics #Distribution (mathematics) #Function (biology) #Hinge loss #Machine Learning and Algorithms #Machine Learning and Data Classification #Mathematical analysis #Mathematics #Matrix (chemical analysis) #Measure (data warehouse) #Sampling (signal processing) #Space (punctuation) #Sparse and Compressive Sensing Techniques #Support vector machine #cs.DS #cs.LG
- Quantum Sparse Support Vector Machines
2019/02/05 by Seyran Saeedi, Tom Arodz, Saeedi, Seyran +1 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Classifier (UML) #Computational complexity theory #Computer science #Discrete mathematics #FOS: Computer and information sciences #FOS: Physical sciences #Feature vector #Hinge loss #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Mathematics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Solver #Sparse approximation #Sublinear function #Support vector machine #Time complexity #cs.LG #quant-ph #stat.ML
- Understanding the Loss Surface of Neural Networks for Binary Classification
2018/02/19 by Shiyu Liang, Liang, Shiyu, Ruoyu Sun +5 · 9 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Arithmetic #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Binary classification #Binary number #Combinatorics #Computer science #Counterexample #FOS: Computer and information sciences #Function (biology) #Generalization #Geometry #Hinge loss #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical analysis #Mathematics #Maxima and minima #Neural Networks and Applications #Path (computing) #Quadratic equation #cs.AI #cs.LG #stat.ML
- Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
2015/01/01 by Yuchen Zhang, Lin Xiao, Zhang, Yuchen +1 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Computer science #Convex function #Distributed algorithm #Distributed computing #Empirical distribution function #Empirical risk minimization #FOS: Computer and information sciences #FOS: Mathematics #Hinge loss #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Minification #Optimization and Control (math.OC) #Regular polygon #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics #Stochastic Gradient Optimization Techniques #Support vector machine #cs.LG #math.OC #stat.ML