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Affinity Workshop
Women in Machine Learning Un-Workshop
Tatjana Chavdarova · Caroline Weis · Amy Zhang · Fariba Yousefi · Mandana Samiei · Larissa Schiavo

Sun Jul 12 11:00 PM -- 03:00 PM (PDT) @
Event URL: https://wimlworkshop.org/icml2020/ »

Women in Machine Learning will be organizing the first “un-workshop” at ICML 2020. This is a new event format that encourages interaction between participants. The un-workshop is based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. Different from the long-running WiML Workshop, the un-workshop’s main focus is topical breakout sessions, with short invited talks and casual, informal poster presentations.

Author Information

Tatjana Chavdarova (EPFL and Idiap)
Caroline Weis (ETH Zurich)
Amy Zhang (FAIR / McGill)
Fariba Yousefi (University of Sheffield)
Mandana Samiei (McGill / Mila)

Mandana Samiei is a Ph.D. candidate at the Computer Science department of McGill University and Mila (Quebec AI Institute), working with Blake A. Richards and Doina Precup. Her interests lie at the intersection of reinforcement learning and cognitive science, including memory mechanisms for improving sample efficiency, generalization, and planning in reinforcement learning. She is co-organizing the Mila Neuro-AI reading groups. Mandana has served as the breakout session chair for the Women in Machine Learning (WiML) un-workshop at ICML 2020, and joined as a board of directors for WiML in 2021.

Larissa Schiavo (N/A)

Organizer, WiML Unworkshop at ICML 2020 - looking for new opportunities! Previously @ OpenAI, where I created / managed the Scholars and Fellows programs. Interested in societal impacts of AI and AI policy.

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