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Algorithms

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Video

Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays

August 11, 2020 | Shoken Kaneko

Audio-based wildlife monitoring is an important method for studying animal habitations and for the conservation of animal species and ecosystems. In this work, we have developed a highly efficient and scalable forest acoustics simulation algorithm,…

video: Forest Sound Scene Simulation

Publication

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Microsoft Research Blog

ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more

August 4, 2020

With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020) (opens in new tab), a number of which were presented in virtual workshops, Microsoft researchers are in full…

Publication

Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models

Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana

International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 | August 2020

Publication

Scalable Lattice Influence Maximization

Wei Chen, Ruihan Wu, Zheng Yu

IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970

Publication

On the Facility Location Problem in Online and Dynamic Models

Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian

APPROX-RANDOM | August 2020

Publication

Cross-validation Confidence Intervals for Test Error

Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey

July 2020

Publication

Escaping Cannibalization? Correlation-Robust Pricing for a Unit-Demand Buyer

Moshe Babaioff, Michal Feldman, Yannai A. Gonczarowski, Brendan Lucier, Inbal Talgam-Cohen

The 21th ACM conference on Economics and Computation (ACM EC 2020) | July 2020

Publication

Model-Switching: Methodology to Handle Fluctuating Workloads in Machine-Learning-as-a-Service Systems

Jeff Zhang, Sameh Elnikety, Shuayb Zarar, Atul Gupta, Siddharth Garg

USENIX Hot Topics in Cloud Computing (HotCloud) | July 2020

Publication

From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model

Aadirupa Saha, Aditya Gopalan

International Conference on Machine Learning | July 2020

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