News
IJCAI-20 Accepts Michael Wellman Paper
10 Sep 2020
“Market Manipulation: An Adversarial Learning Framework for Detection and Evasion,” a new paper by University of Michigan Professor Michael Wellman and Xintong Wang, has been accepted by IJCAI-20. In the paper, they propose an adversarial learning framework to capture the evolving game between a regulator who develops tools to detect market manipulation and a manipulator who obfuscates actions to evade detection. Their experimental results demonstrate the possibility of automatically generating a diverse set of unseen manipulation strategies that can facilitate the training of more robust detection algorithms.
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Summer 2020 Interns
03 Sep 2020
This summer CHAI members virtually mentored eight interns. CHAI interns develop essential research skills in the fields of machine learning and AI safety, preparing them for graduate school and industry opportunities.
Cynthia Chen, an undergrad from University of Hong Kong, was mentored by Sam and Scott, and they were working on using tools in causality to assist ML with a focus on imitation learning.
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Joseph Halpern and Xinming Liu Publish “Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits”
03 Aug 2020
Joseph Halpern, CHAI PI and Professor at Cornell University, and Xinming Liu published their paper at Uncertainty in AI (UAI)’s Virtual Conference which was held August 3rd to 6th.
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Hertz Foundation Awards Fellowship to Alyssa Dayan
15 Jun 2020
Alyssa Dayan, an incoming PhD student advised by Stuart Russell, was awarded a fellowship from The Hertz Foundation.