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The first virtual Frontiers in Machine Learning event took place from July 20-23, 2020.
This four-day virtual conference brought together academics, researchers, and PhD Students. The program was rich, engaging, and filled with current themes and research outcomes spanning theory and practice in Machine Learning. The agenda covered talks and discussions with Microsoft researchers and academic collaborators.
Agenda Overview
Date | Time | Program |
Monday, July 20, 2020 | 9:00 AM–10:00 AM PDT | Fireside Chat, Chris Bishop and Peter Lee |
10:30 AM–12:00 PM PDT | Machine Learning Conversations, a panel led by Susan Dumais | |
Tuesday, July 21, 2020 | 9:00 AM–12:30 PM PDT | Security and Privacy in Machine Learning |
1:00 PM–2:00 PM PDT | Panel – Beyond Fairness: Pushing ML Frontiers for Social Equity | |
9:00 PM–10:30 PM PDT | Causality and Machine Learning (special MSR India session) | |
Wednesday, July 22, 2020 | 9:00 AM–12:30 PM PDT | Interpretability and Explanation |
Thursday, July 23, 2020 | 9:00 AM–12:40 PM PDT | Machine Learning Systems (topics include NLP and Climate Impact) |
12:40 PM–12:45 PM PDT | Closing Remarks |
Program Committee
Vani Mandava (opens in new tab), Sean Kuno (opens in new tab), Kalika Bali (opens in new tab), Debadeepta Dey (opens in new tab), Christopher Bishop (opens in new tab), Asli Celikyilmaz (opens in new tab), Adam Trischler (opens in new tab)
MSR Events and Media
Sara Smith, Jen Viencek, Jeremy Crawford and RTE Media team
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We do not tolerate any behavior that is degrading to any gender, race, sexual orientation or disability, or any behavior that would violate Microsoft’s Anti-Harassment and Anti-Discrimination Policy, Equal Employment Opportunity Policy, or Standards of Business Conduct (opens in new tab). In short, the entire experience must meet our culture standards. We encourage everyone to assist in creating a welcoming and safe environment. Please report (opens in new tab) any concerns, harassing behavior, or suspicious or disruptive activity. Microsoft reserves the right to ask attendees to leave at any time at its sole discretion.