Lester Mackey
Senior Principal Researcher
News & features
Awards | MacArthur Foundation
Lester Mackey, 2023 MacArthur Fellow
Microsoft Research congratulates computer scientist and statistician Lester Mackey on his selection as a 2023 MacArthur Fellow.
Awards | Bernoulli Society
Lester Mackey awarded Ethel Newbold Prize 2023
Lester Mackey (Stanford University and Microsoft Research New England) has become the fifth Ethel Newbold Prize Winner. The Ethel Newbold Prize is awarded biennially to an outstanding statistical scientist in early or mid-career for a body of work that represents…
Awards | Institute of Mathematical Statistics (IMS)
Lester Mackey named IMS Fellow
Lester Mackey, Principal Researcher, Microsoft Research, has been named Fellow of the Institute of Mathematical Statistics (IMS). Dr. Mackey received the award for deep theoretical work in statistical machine learning with impactful applications.
Awards | NeurIPS Conference 2022
Lester Mackey receive Outstanding Paper Award at NeurIPS 2022
Lester Mackey, Principal Researcher from Microsoft Research New England Lab along with his co-authors Jiaxin Shi, Yuhao Zhou, Jessica Hwang, and Michalis Titsias, received the Outstanding Paper award for their paper Gradient Estimation with Discrete Stein Operators at the Neural…
Introducing the Microsoft Climate Research Initiative
Addressing and mitigating the effects of climate change requires a collective effort, bringing our strengths to bear across industry, government, academia, and civil society.
Awards | Committee of President of Statistical Societies
Lester Mackey selected to the 2022 COPSS Leadership Academy
Lester Mackey was selected to be a member of the 2022 COPSS Leadership Academy. Started in 2021, the Academy is comprised of emerging leaders who play an important role in shaping the future of the statistics discipline. This is an…
Factorized layers revisited: Compressing deep networks without playing the lottery
| Misha Khodak, Neil Tenenholtz, Lester Mackey, and Nicolo Fusi
From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As…
In the news | Microsoft AI Blog
Is drought on the horizon? Researchers turn to AI in a bid to improve forecasts
As winter drags on, some people wonder whether to pack shorts for a late-March escape to Florida, while others eye April temperature trends in anticipation of sowing crops. Water managers in the western U.S. check for the possibility of early-spring…