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Published Date

Publication

uGLAD: A Deep Learning Model to Recover Conditional Independence Graphs

Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen

Workshop on New Frontiers in Graph Learning (NeurIPS 2022) | December 2022

Project

Group

Microsoft Research Special Projects

The Microsoft Research Special Projects group operates on the boundary between engineering and research to drive breakthrough innovation. We are a research group with world-class specialists solving highly uncertain, complex problems. We build technologies to…

Publication

A construction of Maximally Recoverable LRCs for small number of local groups

Manik Dhar, Sivakanth Gopi

ISIT 2023 | December 2022

Publication

Improved Field Size Bounds for Higher Order MDS Codes

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

ISIT 2023 | December 2022

Publication

Near-Optimal Correlation Clustering with Privacy

Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski

NeurIPS 2022 | November 2022

Project

Publication

Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni

NeurIPS 2022 | November 2022

Project

Publication

An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge@ NeurIPS 2022

Yusong Wang, Shaoning Li, Tong Wang, Zun Wang, Xinheng He, Bin Shao, Tie-Yan Liu

MSR-TR-2022-35 | November 2022

Published by Microsoft

Competition Winner

Publication

When does differentially private learning not suffer in high dimensions?

Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta

NeurIPS’22 | November 2022

Project

Group

Robust, adaptive, modular ML | Montreal

We aim at understanding the principles underpinning learning and generalization, to build reliable AI systems that can learn more efficiently from available data, intelligently gather additional relevant data, and quickly adapt to and reason about…

Publication

Low-depth arithmetic circuit lower bounds via shifted partials

Prashanth Amireddy, Ankit Garg, Neeraj Kayal, Chandan Saha, Bhargav Thankey

Electronic Colloquium on Computational Complexity, 2022 | November 2022