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Published Date

Publication

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction

Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang

KDD’23 | August 2023

Publication

AI2BMD: efficient characterization of protein dynamics with ab initio accuracy

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

July 2023

Microsoft Research Blog

Microsoft at ICALP 2023: Deploying cloud capacity robustly against power failures

July 11, 2023 | Konstantina Mellou, Marco Molinaro, Rudy Zhou

Efficiency is vital in the face of escalating demand for cloud resources. And efficient power management strategies address the bottleneck of power availability in datacenters. Learn how we optimize power allocation to support sustainable resource…

Publication

Approximation Algorithms for Fair Range Clustering

Sèdjro S. Hotegni, Sepideh Mahabadi, Ali Vakilian

ICML | July 2023

Publication

Online Demand Scheduling with Failovers

Konstantina Mellou, Marco Molinaro, Rudy Zhou

ICALP | July 2023

Project

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023

Publication

Scalable Fair Influence Maximization

Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen

NeurIPS 2023 | June 2023

Microsoft Research Blog

Research Focus: Week of June 5, 2023

June 7, 2023

In this issue: Peter Lee discusses AI in medicine. Plus, new research on data inference privacy in machine learning; PII leakage in language models; and automatic prompt organization with gradient descent and beam search.

Microsoft Research Focus 17 | Week of June 5, 2023

Publication

Virtual Machine Allocation with Lifetime Predictions

Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache

MLSys | June 2023

Outstanding Paper Award

Project

Publication

Mitigating Filter Bubbles Under a Competitive Diffusion Model

Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023