Microsoft Research

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

Plenary Talk: From mathematics to data science and back by Terry Lyons of the University of Oxford.

Talk: Theoretical Aspects of Gradient Methods in Deep Learning by Jian Li of Tsinghua University.

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

Speech by Prof. Zhi-Ming Ma, on behalf of the advisory committee, during the Opening of the Inauguration Ceremony of MSR Asia Theory Center.

Learn more about the 2021 MSR Asia Theory Workshop: microsoft.com/en-us/research/event/2021-msr-asia-theory-workshop

Learn more about the 2021 MSR Asia Theory Workshop: microsoft.com/en-us/research/event/2021-msr-asia-theory-workshop

Talk: The implicit bias of optimization algorithms in deep learning by Qi Meng of Microsoft Research Asia.

Talk: Causal inference, observational studies, and the 2021 Nobel Prize in Economics by Wang Miao of Peking University.

Talk: Sequential Search Problems Beyond The Pandora Box Setting by Hu Fu of Shanghai University of Finance and Economics.

Talk: Recent results on stochastic 3D Navier-Stokes equations by Xiangchan Zhu of Chinese Academy of Sciences.

Education needs technology-based disruption for personalization.

Talk: Coresets for Clustering with Missing Values by Shaofeng Jiang of Peking University.

Speech by Dr. Tie-Yan Liu, on behalf of the organization committee, during the Opening of the Inauguration Ceremony of MSR Asia Theory Center.

Plenary Talk: Theory in an industry lab by John Hopcroft of Cornell University.

Talk: Batch Online Learning and Decision-Making by Yuan Zhou of BIMSA.

Talk: What Makes Multi-modal Learning Better than Single (Provably) by Longbo Huang of Tsinghua University.

Understanding free-form text is hard, be it bug reports or trouble tickets written by engineers or feedback/complaints from customers.

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

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 $4\pi$

Recorded on December 1, 2021 Speaker: Dr.

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

Physics-based groundwater – surface water modeling at continental scale Aquanty, which is a research spin off from the University of Waterloo, is at the forefront of developing state-of-the-art

Out of thin air: Direct Air Capture of carbon dioxide to walk our carbon footprint backwards It is likely that to avert temperature increases greater than 1.5C society will need negative emission

Recorded on November 17, 2021 Speaker: Dr. André Brock, Associate Professor of Media Studies at Georgia Institute of Technology Where does Blackness manifest in Western technoculture?

Recorded on October 27, 2021 Speaker: Dr.

Watch the condensed version: youtu.be/JS5H-Usiphg Recent work on Neural Radiance Fields (NeRF) showed how neural networks can be used to encode complex 3D environments that can be rendered

The increased availability and maturity of head-mounted and wearable devices opens up opportunities for remote communication and collaboration.

LITMUS: Linguistically Inspired Training and testing of MUltilingual Systems LITMUS Predictor provides support for simulating performance in ~100 languages given training observations of the

On June 9 at the Spring 2021 Machine Learning, AI & Data Science Conference, we featured an interview and Q&A with Jenny Sabin, the Cornell-based artist who created the Ada installation currently