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Masahiro Kato

Personal Details

First Name:Masahiro
Middle Name:
Last Name:Kato
Suffix:
RePEc Short-ID:pka1786
[This author has chosen not to make the email address public]
https://masakat0.github.io/

Research output

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Jump to: Working papers

Working papers

  1. Masahiro Kato, 2026. "AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models," Papers 2606.20041, arXiv.org.
  2. Masahiro Kato, 2026. "A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence," Papers 2601.07752, arXiv.org, revised Feb 2026.
  3. Masahiro Kato & Kei Nakagawa, 2026. "Sequential Audit Sampling with Statistical Guarantees," Papers 2604.06116, arXiv.org.
  4. Masahiro Kato, 2026. "Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning," Papers 2605.06386, arXiv.org.
  5. Takashi Kameyama & Masahiro Kato & Yasuko Hio & Yasushi Takano & Naoto Minakawa, 2026. "Causality Elicitation from Large Language Models," Papers 2603.04276, arXiv.org.
  6. Masahiro Kato, 2026. "Conformal Prediction for Nonparametric Instrumental Regression," Papers 2603.25509, arXiv.org.
  7. Masahiro Kato, 2026. "Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression," Papers 2606.12892, arXiv.org.
  8. Masahiro Kato, 2026. "General Bayesian Policy Learning," Papers 2602.23672, arXiv.org.
  9. Masahiro Kato, 2026. "genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression," Papers 2602.17543, arXiv.org.
  10. Masahiro Kato & Taka Kato, 2026. "Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference," Papers 2607.18225, arXiv.org.
  11. Masahiro Kato, 2025. "Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation," Papers 2509.22122, arXiv.org, revised Jan 2026.
  12. Masahiro Kato & Fumiaki Kozai & Ryo Inokuchi, 2025. "PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units," Papers 2501.19345, arXiv.org, revised May 2025.
  13. Masahiro Kato, 2025. "Minimax and Bayes Optimal Best-Arm Identification," Papers 2506.24007, arXiv.org, revised Jul 2026.
  14. Masahiro Kato & Kentaro Baba & Hibiki Kaibuchi & Ryo Inokuchi, 2025. "Bayesian Portfolio Optimization by Predictive Synthesis," Papers 2510.07180, arXiv.org.
  15. Masahiro Kato, 2025. "A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression," Papers 2510.26783, arXiv.org.
  16. Masahiro Kato & Yuki Ikeda & Kentaro Baba & Takashi Imai & Ryo Inokuchi, 2025. "Learning from Double Positive and Unlabeled Data for Potential-Customer Identification," Papers 2506.00436, arXiv.org, revised Jun 2025.
  17. Masahiro Kato, 2025. "Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression," Papers 2510.24433, arXiv.org.
  18. Masahiro Kato, 2025. "Direct Debiased Machine Learning via Bregman Divergence Minimization," Papers 2510.23534, arXiv.org, revised Oct 2025.
  19. Masahiro Kato, 2025. "Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice," Papers 2512.08513, arXiv.org.
  20. Masahiro Kato, 2025. "Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference," Papers 2511.08303, arXiv.org, revised May 2026.
  21. Masahiro Kato, 2025. "Causal-Policy Forest for End-to-End Policy Learning," Papers 2512.22846, arXiv.org.
  22. Masahiro Kato, 2025. "Riesz Regression As Direct Density Ratio Estimation," Papers 2511.04568, arXiv.org, revised Mar 2026.
  23. Masahiro Kato, 2025. "ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation," Papers 2512.20523, arXiv.org, revised Jan 2026.
  24. Masahiro Kato, 2025. "Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning," Papers 2510.26723, arXiv.org, revised Nov 2025.
  25. Masahiro Kato, 2024. "Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification," Papers 2405.19317, arXiv.org, revised Feb 2025.
  26. Masahiro Kato, 2024. "Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification," Papers 2412.17753, arXiv.org, revised Jan 2025.
  27. Masahiro Kato, 2024. "A Note on Doubly Robust Estimator in Regression Discontinuity Designs," Papers 2411.07978, arXiv.org, revised Jan 2025.
  28. Masahiro Kato & Kyohei Okumura & Takuya Ishihara & Toru Kitagawa, 2024. "Adaptive Experimental Design for Policy Learning," Papers 2401.03756, arXiv.org, revised Jun 2025.
  29. Masahiro Kato, 2024. "Conformal Predictive Portfolio Selection," Papers 2410.16333, arXiv.org, revised Feb 2025.
  30. Masahiro Kato, 2024. "Debiased Regression for Root-N-Consistent Conditional Mean Estimation," Papers 2411.11748, arXiv.org, revised Nov 2024.
  31. Masahiro Kato, 2024. "Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects," Papers 2403.03240, arXiv.org.
  32. Masahiro Kato & Akihiro Oga & Wataru Komatsubara & Ryo Inokuchi, 2024. "Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices," Papers 2403.03589, arXiv.org, revised Jun 2024.
  33. Masahiro Kato, 2024. "Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness," Papers 2412.20173, arXiv.org, revised Mar 2025.
  34. Masahiro Kato & Akari Ohda, 2023. "Asymptotically Unbiased Synthetic Control Methods by Moment Matching," Papers 2307.11127, arXiv.org, revised Nov 2025.
  35. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
  36. Masahiro Kato & Shinji Ito, 2023. "Best-of-Both-Worlds Linear Contextual Bandits," Papers 2312.16489, arXiv.org.
  37. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.
  38. Masahiro Kato & Masaaki Imaizumi, 2023. "CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression," Papers 2310.16819, arXiv.org.
  39. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
  40. Masahiro Kato & Kota Matsui & Ryo Inokuchi, 2023. "Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation," Papers 2310.16638, arXiv.org, revised Oct 2024.
  41. Masahiro Kato & Masaaki Imaizumi, 2022. "Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression," Papers 2202.05245, arXiv.org, revised Feb 2022.
  42. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
  43. Masahiro Kato & Kaito Ariu & Masaaki Imaizumi & Masahiro Nomura & Chao Qin, 2022. "Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap," Papers 2201.04469, arXiv.org, revised Dec 2022.
  44. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
  45. Kaito Ariu & Masahiro Kato & Junpei Komiyama & Kenichiro McAlinn & Chao Qin, 2021. "Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling," Papers 2109.08229, arXiv.org, revised Nov 2021.
  46. Masahiro Kato & Kaito Ariu, 2021. "The Role of Contextual Information in Best Arm Identification," Papers 2106.14077, arXiv.org, revised Feb 2024.
  47. Masahiro Kato & Masaaki Imaizumi & Kenichiro McAlinn & Haruo Kakehi & Shota Yasui, 2021. "Learning Causal Models from Conditional Moment Restrictions by Importance Weighting," Papers 2108.01312, arXiv.org, revised Sep 2022.
  48. Masahiro Kato & Yusuke Kaneko, 2020. "Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy," Papers 2010.13554, arXiv.org.
  49. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
  50. Masahiro Kato & Shota Yasui, 2020. "Learning Classifiers under Delayed Feedback with a Time Window Assumption," Papers 2009.13092, arXiv.org, revised Jun 2022.
  51. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.
  52. Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Efficient Adaptive Experimental Design for Average Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Feb 2025.
  53. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
  54. Masahiro Kato & Kenshi Abe & Kaito Ariu & Shota Yasui, 2020. "A Practical Guide of Off-Policy Evaluation for Bandit Problems," Papers 2010.12470, arXiv.org.
  55. Masahiro Kato, 2019. "Identifying Different Definitions of Future in the Assessment of Future Economic Conditions: Application of PU Learning and Text Mining," Papers 1909.03348, arXiv.org, revised Apr 2020.
  56. Masahiro Kato & Hikaru Kawarazaki, 2019. "Model Specification Test with Unlabeled Data: Approach from Covariate Shift," Papers 1911.00688, arXiv.org, revised Feb 2020.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Masahiro Kato, 2025. "Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation," Papers 2509.22122, arXiv.org, revised Jan 2026.

    Cited by:

    1. Masahiro Kato, 2025. "Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference," Papers 2511.08303, arXiv.org, revised May 2026.

  2. Masahiro Kato & Akihiro Oga & Wataru Komatsubara & Ryo Inokuchi, 2024. "Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices," Papers 2403.03589, arXiv.org, revised Jun 2024.

    Cited by:

    1. Wen, Qianglin & Wu, Xiangkun & Shi, Chengchun & Li, Ting & Tang, Niansheng & Zhang, Yingying & Zhu, Hongtu, 2026. "Robust sequential experimental design for A/B testing," LSE Research Online Documents on Economics 138897, London School of Economics and Political Science, LSE Library.

  3. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.

    Cited by:

    1. Masahiro Kato & Akihiro Oga & Wataru Komatsubara & Ryo Inokuchi, 2024. "Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices," Papers 2403.03589, arXiv.org, revised Jun 2024.

  4. Masahiro Kato & Masaaki Imaizumi, 2023. "CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression," Papers 2310.16819, arXiv.org.

    Cited by:

    1. Masahiro Kato, 2024. "Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects," Papers 2403.03240, arXiv.org.

  5. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.

    Cited by:

    1. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.

  6. Masahiro Kato & Masaaki Imaizumi, 2022. "Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression," Papers 2202.05245, arXiv.org, revised Feb 2022.

    Cited by:

    1. Masahiro Kato, 2024. "Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects," Papers 2403.03240, arXiv.org.

  7. Masahiro Kato & Kaito Ariu & Masaaki Imaizumi & Masahiro Nomura & Chao Qin, 2022. "Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap," Papers 2201.04469, arXiv.org, revised Dec 2022.

    Cited by:

    1. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Jan 2026.
    2. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    3. Karun Adusumilli, 2022. "Neyman allocation is minimax optimal for best arm identification with two arms," Papers 2204.05527, arXiv.org, revised Aug 2022.
    4. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.

  8. Kaito Ariu & Masahiro Kato & Junpei Komiyama & Kenichiro McAlinn & Chao Qin, 2021. "Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling," Papers 2109.08229, arXiv.org, revised Nov 2021.

    Cited by:

    1. Chao Qin & Daniel Russo, 2024. "Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification," Papers 2402.10592, arXiv.org, revised Jul 2024.
    2. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    3. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    4. Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
    5. Masahiro Kato & Kyohei Okumura & Takuya Ishihara & Toru Kitagawa, 2024. "Adaptive Experimental Design for Policy Learning," Papers 2401.03756, arXiv.org, revised Jun 2025.
    6. Masahiro Kato, 2024. "Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification," Papers 2405.19317, arXiv.org, revised Feb 2025.
    7. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
    8. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.

  9. Masahiro Kato & Kaito Ariu, 2021. "The Role of Contextual Information in Best Arm Identification," Papers 2106.14077, arXiv.org, revised Feb 2024.

    Cited by:

    1. Chao Qin & Wei You, 2026. "Dual-Directed Algorithm Design for Efficient Pure Exploration," Operations Research, INFORMS, vol. 74(2), pages 1104-1125, March.
    2. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    3. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.

  10. Masahiro Kato & Yusuke Kaneko, 2020. "Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy," Papers 2010.13554, arXiv.org.

    Cited by:

    1. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
    2. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Jun 2026.

  11. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.

    Cited by:

    1. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    2. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
    3. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.

  12. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.

    Cited by:

    1. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
    2. Yuta SAITO & Takuma UDAGAWA & Haruka KIYOHARA & Kazuki MOGI & Yusuke NARITA & Kei TATENO, 2023. "Evaluating the Robustness of Off-Policy Evaluation," Discussion papers 23041, Research Institute of Economy, Trade and Industry (RIETI).
    3. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
    4. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    5. Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Nov 2025.

  13. Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Efficient Adaptive Experimental Design for Average Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Feb 2025.

    Cited by:

    1. Shantanu Gupta & Zachary C. Lipton & David Childers, 2021. "Efficient Online Estimation of Causal Effects by Deciding What to Observe," Papers 2108.09265, arXiv.org, revised Oct 2021.
    2. Yu-Shiou Willy Lin & Dae Woong Ham & Iavor Bojinov, 2026. "Benefits and Costs of Adaptive Sampling," Papers 2604.24652, arXiv.org.

  14. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.

    Cited by:

    1. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
    2. Masahiro Kato & Kenshi Abe & Kaito Ariu & Shota Yasui, 2020. "A Practical Guide of Off-Policy Evaluation for Bandit Problems," Papers 2010.12470, arXiv.org.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 48 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (33) 2019-11-11 2020-02-24 2020-03-09 2020-07-27 2020-10-19 2020-11-02 2021-02-22 2021-08-16 2022-01-31 2022-02-28 2022-10-17 2023-08-28 2023-11-27 2024-01-22 2024-04-08 2024-04-15 2024-12-16 2024-12-30 2025-01-13 2025-03-03 2025-10-20 2025-11-10 2025-11-10 2025-11-10 2025-11-10 2025-11-24 2025-11-24 2026-01-12 2026-01-19 2026-02-02 2026-03-23 2026-04-06 2026-06-15. Author is listed
  2. NEP-BIG: Big Data (9) 2019-09-16 2020-10-19 2022-02-28 2024-04-15 2024-12-30 2025-01-13 2025-11-10 2025-11-10 2026-03-30. Author is listed
  3. NEP-CMP: Computational Economics (7) 2019-09-16 2020-10-19 2025-11-10 2026-02-02 2026-03-02 2026-03-30 2026-06-29. Author is listed
  4. NEP-EXP: Experimental Economics (7) 2020-02-24 2023-12-04 2024-02-05 2024-04-08 2025-01-27 2025-09-15 2026-01-26. Author is listed
  5. NEP-DES: Economic Design (2) 2023-12-04 2024-02-05
  6. NEP-INV: Investment (2) 2024-01-29 2024-12-16
  7. NEP-ISF: Islamic Finance (2) 2021-08-16 2021-09-27
  8. NEP-RMG: Risk Management (2) 2020-10-19 2024-11-25
  9. NEP-ACC: Accounting and Auditing (1) 2026-04-13
  10. NEP-AIN: Artificial Intelligence (1) 2026-06-29
  11. NEP-FOR: Forecasting (1) 2025-10-13
  12. NEP-MIC: Microeconomics (1) 2026-03-23

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