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Diego Klabjan

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Papers (36)

  1. Model-based Bootstrap of Controlled Markov Chains stat.ML · 2026 · author #3
  2. On the Convergence Rate of LoRA Gradient Descent cs.LG · 2025 · author #2
  3. Data Extraction from Charts via Single Deep Neural Network cs.CV · 2019 · author #2
  4. Dynamic Cell Structure via Recursive-Recurrent Neural Networks cs.LG · 2019 · author #3
  5. Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data cs.IR · 2019 · author #4
  6. Stochastic Variance-Reduced Heavy Ball Power Iteration math.OC · 2019 · author #2
  7. Unified recurrent neural network for many feature types stat.ML · 2018 · author #2
  8. Nested multi-instance classification stat.ML · 2018 · author #2
  9. Forecasting Crime with Deep Learning stat.ML · 2018 · author #2
  10. Bayesian active learning for choice models with deep Gaussian processes stat.ML · 2018 · author #2
  11. Truth Validation with Evidence cs.AI · 2018 · author #2
  12. Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations stat.ML · 2018 · author #2
  13. Generative Adversarial Nets for Multiple Text Corpora cs.CL · 2017 · author #2
  14. OSTSC: Over Sampling for Time Series Classification in R stat.CO · 2017 · author #2
  15. Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling stat.ML · 2017 · author #2
  16. Improving the Expected Improvement Algorithm cs.LG · 2017 · author #2
  17. Diminishing Batch Normalization cs.LG · 2017 · author #2
  18. Activation Ensembles for Deep Neural Networks stat.ML · 2017 · author #2
  19. An Attention-Based Deep Net for Learning to Rank cs.LG · 2017 · author #2
  20. Semi-supervised Learning for Discrete Choice Models stat.ML · 2017 · author #3
  21. Bayesian Network Learning via Topological Order stat.ML · 2017 · author #2
  22. Optimization for Large-Scale Machine Learning with Distributed Features and Observations stat.ML · 2016 · author #2
  23. Regularization for Unsupervised Deep Neural Nets cs.LG · 2016 · author #2
  24. Rapid Prediction of Player Retention in Free-to-Play Mobile Games stat.ML · 2016 · author #5
  25. Algorithms for Generalized Cluster-wise Linear Regression stat.ML · 2016 · author #3
  26. An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning stat.ML · 2016 · author #2
  27. Temporal Topic Analysis with Endogenous and Exogenous Processes cs.CL · 2016 · author #2
  28. A Semi-supervised learning approach to enhance health care Community-based Question Answering: A case study in alcoholism stat.ML · 2016 · author #2
  29. Classification-based Financial Markets Prediction using Deep Neural Networks cs.LG · 2016 · author #2
  30. Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2 stat.ML · 2016 · author #8
  31. Predictive Analytics Using Smartphone Sensors for Depressive Episodes cs.CY · 2016 · author #2
  32. Semantic Properties of Customer Sentiment in Tweets cs.CL · 2016 · author #2
  33. Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game cs.CY · 2016 · author #4
  34. Clustering Time-Series Energy Data from Smart Meters stat.ML · 2016 · author #2
  35. Evaluating the Performance of Offensive Linemen in the NFL stat.ML · 2016 · author #2
  36. Predicting litigation likelihood and time to litigation for patents stat.ML · 2016 · author #2

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