Service

Talks and Activities

1. Invited Talk on “High-dimensional Causal Inference via Deep Generative Models with Applications in Trustworthy AI”, Colloquium Talk, Department of Statistics, Purdue University, Oct. 2024.

2. Invited Talk on “Principled Causal Methods for Computer Security”, Amazon AI and Security Talk Series, Amazon, Online, Oct. 2024.

3. Invited Talk on “Causal Machine Learning: Fundamentals and Applications”, IDEAL Workshop on Graph Representation Learning, University of Illinois Chicago, May 2024.

4. Invited Talk on “Causal Machine Learning: Fundamentals and Applications”, MMLS 2024, Minneapolis, May 2024.

5. Invited Talk on “Causal Machine Learning: Fundamentals and Applications”, Purdue University, Department of Computer Science, March 2024.

6. Invited Talk on “Causal Machine Learning: Fundamentals and Applications”, Middle East Technical University, Department of Electrical and Electronics Engineering, March 2024.

7. Invited Talk on “Approximate Causal Effect Identification under Weak Confounding”, Information Theory Applications Workshop (ITA), San Diego, CA, Feb. 2024.

8. Invited Talk on “Causal Discovery via Common Entropy” at the Causal Inference & Quantum Foundations Workshop, Perimeter Institute, Waterloo, ON, Canada, Apr. 2023. Recording

9. Invited Talk on “Entropic Causal Inference and Approximate Minimum Entropy Coupling”, Information Theory Applications Workshop (ITA), San Diego, CA, Feb. 2023.

10. TILOS Seminar Series Invited Talk on “Causal Discovery for Root-cause Analysis,” Online, Jan. 2023.

11. Guest Editor for the Special Issue on “Information-theoretic Methods for Causal Inference and Discovery”, Entropy, MDPI, 2023.

12. ICON Seminar on “Causal Discovery for Root-cause Analysis”, Purdue University, October 2022. YouTube recording.

13. Pacific Northwest National Laboratory (PNNL) Research Seminar on “Causal Discovery for Root-cause Analysis”, July 2022.

14. Purdue ML Reading Group Talk on “Cost-Optimal Experimental Design for Causal Discovery”, April 2022.

15. Invited Participant at Simons Institute Causality Workshop, UC Berkeley, February 2022.

16. General chair for The AAAI-22 Workshop on Information-Theoretic Methods for Causal Inference and Discovery (ITCI’22), Vancouver, Canada, February 2022.

17. Session Chair for ICERM Workshop on Advances in Theory and Algorithms for Deep Reinforcement Learning, Online, Aug. 2, 2021.

18. Discussant in Causality Session at UAI’21, Online, July 27, 2021.

19. Mentorship Circles at ICLR’21 Online, March 3, 2021.

20. Purdue ECE Talk: Entropic Methods for Causal Discovery, Online talk for graduate students and the faculty, Mar. 4, 2021.

21. Session chair for IJCAI’20, Machine Learning - Learning Generative Models, Jan. 2021.

22. Lightning Talk in Young Researchers Workshop on CausalGAN, ORIE, Cornell University, Ithaca, NY, Oct. 2019.

23. Co-organized “Bridging Causal Inference, Reinforcement Learning and Transfer Learning Workshop” in IBM AI Research Week, 2019.

24. Invited Talk in AAAI-WHY19 Spring Symposium on CausalGAN, Stanford, CA, March 25-27, 2019.

25. Shannon Channel Talk: Entropic Methods for Causal Discovery, Online talk hosted by Salim El Rouayheb, Mar. 1st, 2019.

26. Hands-on machine learning workshop (jointly with Alex Dimakis), 2018 North American School of Information Theory, Texas A&M University, May 20-23, 2018.

27. M. Kocaoglu, “Energy Minimization with Coding: Minimum Energy Channel and Network Codes,” COST Action IC0804 Meeting, Istanbul, Turkey, Dec. 2012.

Recognitions

1. Reviewer Award for UAI 2022, Top Reviewer

2. Reviewer Award for ICLR 2022, Highlighted Reviewer

3. Reviewer Award for UAI’21, Amongst Top 5% of Reviewers

4. Reviewer Award for ICLR 2021, Outstanding Reviewer

5. Reviewer Award for ICML 2020, Amongst Top 33% of Reviewers

6. Reviewer Award for NeurIPS 2019, Amongst Top 50% of Reviewers

7. Reviewer Award for NeurIPS 2018, Amongst Top 218 Reviewers

Area Chair (AC) for conferences

• 2024 The Twelfth International Conference on Learning Representations - ICLR’24

• 2023 Thirty-seventh Conference on Neural Information Processing Systems - NeurIPS’23

Senior PC Member (Meta-reviewer) for conferences

• 2022 Thirty-Seventh AAAI Conference on Artificial Intelligence - AAAI’23

• 2021 Thirty-Sixth AAAI Conference on Artificial Intelligence - AAAI’22

• 2021 IJCAI 2021

• 2020 Thirty-Fifth AAAI Conference on Artificial Intelligence - AAAI’21

• 2020 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence – IJCAI-PRICAI 2020

Reviewer for conferences

• 2022 Thirty-sixth Conference on Neural Information Processing Systems - NeurIPS’22

• 2021 37th Conference on Uncertainty in Artificial Intelligence - UAI 2021

• 2021 Thirty-fifth Conference on Neural Information Processing Systems - NeurIPS’21

• 2020 The 24nd International Conference on Artificial Intelligence and Statistics - AISTATS’21

• 2020 Ninth International Conference on Learning Representations - ICLR’21

• 2020 Thirty-fourth Conference on Neural Information Processing Systems – NeurIPS’20

• 2020 Thirty-third Annual Conference on Learning Theory - COLT’20

• 2020 Thirty-sixth Conference on Uncertainty in Artificial Intelligence – UAI’20

• 2020 Thirty-seventh International Conference on Machine Learning – ICML’20

• 2020 The 23nd International Conference on Artificial Intelligence and Statistics - AISTATS’20

• 2019 Thirty-Fourth AAAI Conference on Artificial Intelligence - AAAI’20

• 2019 28th International Joint Conference on Artificial Intelligence - IJCAI’19

• 2019 The Thirty-Third Annual Conference on Neural Information Processing Systems - NeurIPS’19

• 2019 36th International Conference on Machine Learning - ICML’19

• 2018 The 22nd International Conference on Artificial Intelligence and Statistics - AISTATS’19

• 2018 The Thirty-Second Annual Conference on Neural Information Processing Systems - NeurIPS’18

• 2018 Thirty-fifth International Conference on Machine Learning - ICML’18

• 2017 The Thirty-First Annual Conference on Neural Information Processing Systems - NeurIPS’17

• 2016 The Thirtieth Annual Conference on Neural Information Processing Systems - NeurIPS’16

• 2015 IEEE International Symposium on Information Theory - ISIT’15

• 2014 IEEE International Symposium on Turbo Codes & Iterative Information Processing - ISTC’14

• 2013 IEEE International Conference on Computer Communications - INFOCOM’13

• 2012 IEEE Conference on Local Computer Networks - LCN’12

• 2012 IEEE International Conference on Communications - ICC’12

• 2012 IEEE Vehicular Technology Conference - VTC’12

• 2011 IEEE Global Communications Conference - GLOBECOM’11

• Many others…

Reviewer for journals

• IEEE Transactions on Information Theory (current)

• Journal of Machine Learning Research (current)

• Neural Networks (Elsevier) (current)

• IEEE Transactions on Communications (2013-2014)

• IEEE Transactions on Wireless Communications (2013-2014)

• IEEE/ACM Transactions on Networking (2012-2013)

• IEEE Transactions on Vehicular Technology (2011 - 2014)

• Nano Communication Networks (Elsevier) (2012 - 2014)

• IEEE Communications Letters (2012 - 2013)

• IEEE Wireless Communications Magazine (2012-2013)

• Ad Hoc Networks (Elsevier) (2012 - 2013)

• Computer Networks (Elsevier) (2012 - 2013)

• International Journal of Communication Systems (2011 - 2013)

Student Volunteer

• NEM Summit 2012, Istanbul, Turkey

• ACM MobiCom 2012, Istanbul, Turkey

Notes

• A summary of Moser, Tardos 2010 STOC paper on constructive Lovász local lemma.

• Notes on basics of estimation theory and Cramer-Rao lower bound.