diochnos/home
Welcome to my homepage!
Please use the menu on top to navigate through the pages.
At the moment, the site is best viewed with Firefox / Iceweasel, Safari, Opera, and Chrome. You are using CCBot/2.0 (https://commoncrawl.org/faq/).
Recent Work
My most recent paper is,
On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism.
I am the sole author of this paper.
It has been accepted and will appear soon in the
Journal of Artificial Intelligence Research (JAIR).
Another recent paper is,
Learning Reliable Rules under Class Imbalance.
Joint work with Theodore Trafalis.
It will appear in the SIAM International
Conference on Data Mining (SDM), 2021.
Another fairly recent paper is,
Lower Bounds for Adversarially Robust PAC
Learning under Evasion and Hybrid Attacks.
Joint work with Saeed Mahloujifar and Mohammad Mahmoody.
Appeared in the Nineteenth IEEE International
Conference on Machine Learning and Applications (ICMLA), 2020.
A preliminary version appeared in the
Sixteenth International Symposium on Artificial Intelligence and Mathematics (ISAIM), 2020.
An extended version of the paper is available on arXiv.org
under the reference number 1906.05815.
Finally, not long ago I had the paper,
Understanding the Semantic Content of
Sparse Word Embeddings Using a Commonsense Knowledge Base.
Joint work with Vanda Balogh,
Gábor Berend, and
György Turán.
Appeared in the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
A slighlty condensed version also appeared in the NeurIPS Workshop on Knowledge Representation & Reasoning Meets Machine Learning (KR2ML), 2019.
Prospective Students
If you are a prospective student, please follow this link for more information.
News
- August 2020: The proposal that I was participating and was led by Amy McGovern, has been accepted for funding by the National Science Foundation (NSF); see
here for more details on the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES).
Please also visit the website that we maintain for the institute that has news and related information. There are certainly exciting times ahead of us!
Finally, do not forget to follow the official Twitter account @ai2enviro for receiving the latest information that is related to the institute as soon as this information becomes available. - July 2020: I will be teaching one more course during the Fall of 2020: Machine Learning.
- March 2020: I will be teaching a course in Computational Learning Theory during the Fall of 2020.