Panel: Challenges and opportunities of causality
Moderator: Eric Horvitz, Chief Scientific Officer, Microsoft Speakers: Yoshua Bengio, Scientific Director Full Professor, Université de Montréal Susan Athey, Professor, Stanford University Judea
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7.1
Panel: Privacy preserving machine learning
Speakers: Shruti Tople, Microsoft Research Cambridge Reza Shokri, National University of Singapore Divya Gupta, Microsoft Research India Olya Ohrimenko, The University of Melbourne In this panel
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19.8
Panel: Space systems and next-generation telecommunications
00:00 Introduction Speaker: Ranveer Chandra, GM Networking, Microsoft Research The Space and Telecommunications industries are undergoing a massive transformation.
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Panel: Monitoring for environmental equity: A hyperlocal air quality network in Chicago
Moderator: Madeleine Daepp, Senior Researcher, Microsoft Research Redmond Speakers: Charlie Catlett, Senior Research Scientist, Discover Partners Institute & Array of Things Meera Raja, Senior
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Panel: Ag-Food – Sustainably Nourishing the World
00:00 Introduction Speaker: Ranveer Chandra, Managing Director, Research for Industry, Microsoft Research The consumer goods industry has been disrupted by personalization of retail, automation of
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Unsupervised Speech Enhancement
Speech enhancement systems are built to remove background noise and reverberation from speech signals.
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22.6
Developing a Brain-Computer Interface Based on Visual Imagery
A brain-computer interface (BCI) is a technology to provide direct communication between the brain and an external device.
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Panel: Theory Research in Big Data Era
Panel: Theory Research in Big Data Era Moderator: Tie-Yan Liu, Microsoft Research Asia Panelists: Xiaotie Deng, Peking University Pinyan Lu, Shanghai University of Finance and Economics Liwei Wang
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17.6
Plenary Talk: From mathematics to data science and back
Plenary Talk: From mathematics to data science and back by Terry Lyons of the University of Oxford.
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9.5
Talk: Theoretical Aspects of Gradient Methods in Deep Learning
Talk: Theoretical Aspects of Gradient Methods in Deep Learning by Jian Li of Tsinghua University.
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MSR Asia Theory Center Introduction
MSR Asia Theory Center Introduction by Dr. Wei Chen. Learn more about the 2021 MSR Asia Theory Workshop: microsoft.com/en-us/research/event/2021-msr-asia-theory-workshop
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Inauguration Ceremony of MSR Asia Theory Center Opening Speech from Zhi-Ming Ma
Speech by Prof. Zhi-Ming Ma, on behalf of the advisory committee, during the Opening of the Inauguration Ceremony of MSR Asia Theory Center.
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Recap video of 2021 MSR Asia Theory Workshop (Short version)
Learn more about the 2021 MSR Asia Theory Workshop: microsoft.com/en-us/research/event/2021-msr-asia-theory-workshop
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Recap video of 2021 MSR Asia Theory Workshop (Long version)
Learn more about the 2021 MSR Asia Theory Workshop: microsoft.com/en-us/research/event/2021-msr-asia-theory-workshop
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Talk: The implicit bias of optimization algorithms in deep learning
Talk: The implicit bias of optimization algorithms in deep learning by Qi Meng of Microsoft Research Asia.
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Talk: Causal inference, observational studies, and the 2021 Nobel Prize in Economics
Talk: Causal inference, observational studies, and the 2021 Nobel Prize in Economics by Wang Miao of Peking University.
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24.6
Talk: Sequential Search Problems Beyond The Pandora Box Setting
Talk: Sequential Search Problems Beyond The Pandora Box Setting by Hu Fu of Shanghai University of Finance and Economics.
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Talk: Recent results on stochastic 3D Navier-Stokes equations
Talk: Recent results on stochastic 3D Navier-Stokes equations by Xiangchan Zhu of Chinese Academy of Sciences.
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AI for Programming Education
Education needs technology-based disruption for personalization.
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Talk: Coresets for Clustering with Missing Values
Talk: Coresets for Clustering with Missing Values by Shaofeng Jiang of Peking University.
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Inauguration Ceremony of MSR Asia Theory Center Opening Speech from Tie-Yan Liu
Speech by Dr. Tie-Yan Liu, on behalf of the organization committee, during the Opening of the Inauguration Ceremony of MSR Asia Theory Center.
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Plenary Talk: Theory in an industry lab
Plenary Talk: Theory in an industry lab by John Hopcroft of Cornell University.
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Talk: Batch Online Learning and Decision
Talk: Batch Online Learning and Decision-Making by Yuan Zhou of BIMSA.
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Talk: What Makes Multi-modal Learning Better than Single (Provably)
Talk: What Makes Multi-modal Learning Better than Single (Provably) by Longbo Huang of Tsinghua University.
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SysSieve: Extracting Actionable Insights from Unstructured Text
Understanding free-form text is hard, be it bug reports or trouble tickets written by engineers or feedback/complaints from customers.
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Fourier Feature Networks and Neural Volume Rendering
Fourier Feature Networks are an exciting new development in Computer Vision, and their use for modeling radiance fields has produced a range of impressive results at the meeting point of Computer
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7.1
DIABLo: a Deep Individual-Agnostic Binaural Localizer
In this project, we have developed and studied a deep neural network-based individual-agnostic general-purpose binaural localizer (BL) for sound sources located at arbitrary directions on the $4\pi$
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A law of robustness and the importance of overparametrization in deep learning
Microsoft Research Senior Principal Researcher Sebastien Bubeck answers several questions about the NeurIPS 2021 paper, “A Universal Law of Robustness via Isoperimetry.” He discusses what
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