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Klabjan, Diego

  1. Improving the Expected Improvement Algorithm
    2017/05/29 by Chao Qin, Qin, Chao, Diego Klabjan +3 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  2. Classification-based Financial Markets Prediction using Deep Neural Networks
    2016/03/29 by Dixon, Matthew, Klabjan, Diego, Bang, Jin Hoon · 3 citations
    #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
  3. A Probabilistic Approach to Neural Network Pruning
    2021/05/20 by X. Qian, Diego Klabjan, Qian, Xin +1 · 4 citations
    Computer Science · #Neural Networks and Applications #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms
  4. Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
    2018/01/07 by Xingyu Wang, Diego Klabjan, Wang, Xingyu +1 · 3 citations
    Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  5. Efficient Architecture Search for Continual Learning
    2020/06/07 by Qiang Gao, Zhipeng Luo, Gao, Qiang +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  6. Data Extraction from Charts via Single Deep Neural Network
    2019/06/06 by Xiaoyi Liu, Liu, Xiaoyi, Diego Klabjan +3 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Image and Object Detection Techniques #Machine Learning (cs.LG)
  7. Open-Set Recognition with Gaussian Mixture Variational Autoencoders
    2020/06/03 by Alexander Cao, Cao, Alexander, Yuan Luo +3 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Video Surveillance and Tracking Methods
  8. Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
    2024/09/15 by Mu, Siqiao, Klabjan, Diego · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Pareto Regret Analyses in Multi-objective Multi-armed Bandit
    2022/12/01 by Xu, Mengfan, Klabjan, Diego · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent
    2020/04/27 by X. Qian, Diego Klabjan, Qian, Xin +1 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  11. Optimization for Large-Scale Machine Learning with Distributed Features and Observations
    2016/10/31 by Nathan, Alexandros, Klabjan, Diego · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling
    2017/06/06 by Zeng, Yaxiong, Klabjan, Diego · 1 citation
    #Computational Finance (q-fin.CP) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. On the Second-Order Convergence of Biased Policy Gradient Algorithms
    2023/11/05 by Mu, Siqiao, Klabjan, Diego · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
    2024/10/28 by Ma, Yintai, Klabjan, Diego, Utke, Jean · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Logit-based Uncertainty Measure in Classification
    2021/07/06 by Wu, Huiyu, Klabjan, Diego · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Open-Set Recognition of Breast Cancer Treatments
    2022/01/09 by Alexander Cao, Diego Klabjan, Cao, Alexander +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Molecular Biology Techniques and Applications
  17. Divergence Results and Convergence of a Variance Reduced Version of ADAM
    2022/10/11 by Ruiqi Wang, Diego Klabjan, Wang, Ruiqi +1 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  18. Predictive Analytics Using Smartphone Sensors for Depressive Episodes
    2016/03/24 by Taeheon Jeong, Jeong, Taeheon, Diego Klabjan +3 · 1 citation
    Health Professions · Psychology · #Computers and Society (cs.CY) #Digital Mental Health Interventions #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (stat.ML) #Mental Health Research Topics #Mobile Health and mHealth Applications
  19. Keyword-based Topic Modeling and Keyword Selection
    2020/01/22 by Xingyu Wang, Lida Zhang, Wang, Xingyu +3 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Text Analysis Techniques #Topic Modeling #Complex Network Analysis Techniques
  20. A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
    2025/01/07 by Shuyang Wang, Somayeh Moazeni, Wang, Shuyang +3 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  21. Activation Ensembles for Deep Neural Networks
    2017/02/24 by Mark E. Harmon, Diego Klabjan, Harmon, Mark +1 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  22. Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
    2024/09/19 by Diego Klabjan, Park, Haemin, Klabjan, Diego · 2 citations
    Computer Science · Engineering · #Blind Source Separation Techniques #Sparse and Compressive Sensing Techniques #Optical Network Technologies
  23. Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
    2023/06/08 by Mengfan Xu, Xu, Mengfan, Diego Klabjan +1 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Age of Information Optimization #Cognitive Radio Networks and Spectrum Sensing
  24. A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations
    2018/03/29 by Biyi Fang, Fang, Biyi, Diego Klabjan +1 · 1 citation
    Computer Science · Decision Sciences · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Advanced Bandit Algorithms Research
  25. Reverse Prompt Engineering
    2024/11/11 by Li, Hanqing, Klabjan, Diego · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences