Microsoft Research New England Lab - Cambridge Massachusetts

Microsoft Research Lab – New England

Publications

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Publication

Machine-learning-guided directed evolution for protein engineering.

Kevin Kaichuang Yang, Zachary Wu, Frances H Arnold

Nature Methods | July 2019, Vol 16(8): pp. 687-694

Publication

A Correction To Kallenberg’s Theorem For Jointly Exchangeable Random Measures

Christian Borgs, Jennifer Chayes, Souvik Dhara, Subhabrata Sen

July 2019

Publication

A Kernel Stein Test For Comparing Latent Variable Models

Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton

July 2019

ArXiv preprint

Publication

A Flexible Design For Funding Public Goods

Vitalik Buterin, Zoë Hitzig, E. Glen Weyl

Management Science | July 2019, Vol 65(11)

Publication

Playing on a Level Field: Sincere and Sophisticated Players in the Boston Mechanism with a Coarse Priority Structure

Moshe Babaioff, Yannai A. Gonczarowski, Assaf Romm

The 20th ACM conference on Economics and Computation (ACM EC 19) | June 2019

Publication

Concerns of Female Adolescents About Menarche and First Sexual Intercourse: Mixed Methods Analysis of Social Media Questions

Elad Yom-Tov

JMIR Pediatrics and Parenting | June 2019

Publication

Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches

Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford

Conference on Learning Theory | June 2019

Publication

Orthogonal Random Forest for Causal Inference

Vasilis Syrgkanis, Steven Wu

International Conference on Machine Learning | June 2019

Project Project

Publication

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Karthik Rajendran, Dalitso Banda, Casey Jisoo Hong, Manon Knoertzer, Ben Brodsky, Minsoo Thigpen, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

June 2019

Publication

Semi-Parametric Efficient Policy Learning with Continuous Actions

Greg Lewis, Vasilis Syrgkanis, Victor Chernozhukov, Mert Demirer

arXiv | May 2019

Project Project