Center for Statistics and Machine Learning

 

 

Featured News

Several CSML participating faculty featured in artificial intelligence article in Princeton's Discovery Magazine
Jan. 30, 2023

The campus research magazine has an article on artificial intelligence in its latest issue. The CSML participating faculty featured in the article are Ryan Adams, Sanjeev Arora, Danqi Chen, Adji Bousso Dieng, Karthik Narasimhan and Olga Russakovsky. 

Featured Event

CITP Distinguished Lecture Series: Jon Kleinberg – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Wed, Feb 15, 2023, 4:30 pm

Please register here to attend in person.
 

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Open Positions

Interdisciplinary Data Science Faculty Positions
Nov. 2, 2021

As part of a major new initiative in interdisciplinary data science, Princeton University is undertaking a search for faculty members at all academic ranks across all areas of science, engineering, social science, and humanities. This initiative will involve multiple faculty hires over the next several years.  We are particularly interested in…


 

Latest News

Faculty Profile: Ching-Yao Lai yields machine learning to explore ice sheet physics

The expansive whiteness of the ice and snow at the Antarctic seems the same as more than a century ago when explorers first started traversing the continent. But scientists monitoring the continent have noticed rapid changes in the mass and reach of ice sheets, whose collapse can impact sea levels all over the world. Climate change has raised…

Visitor Profile: Mert Gurbuzbalaban is advancing robustness in machine learning

Machine learning technologies are increasingly being used to analyze complex, ambiguous situations such as the spread of diseases or financial markets, but some of these algorithms falter when they encounter new data, an altered environment, or have hidden biases that come to the surface.

In machine learning, the term “robustness”…

Synthetic control emerges as a useful data science tool to test policy interventions in economics and social sciences

In the last quarter of this year, news organizations have been reporting that the United Kingdom is headed toward a recession, with economists saying that Brexit, the economic decoupling of the United Kingdom and the European Union, is a major factor.

The economic downturn has not been a surprise to many economists. In fact, in 2017,…

Princeton researchers tackle reproducibility in machine learning

In recent years, scientists have noticed that conclusions in some published research that heavily use machine learning cannot be reproduced.

To uncover why this is happening, Sayash Kapoor, a computer science doctoral student affiliated with the Center for Information Technology Policy (CITP), and Arvind Narayanan, professor of computer science, a participating faculty member of the Center for Statistics and Machine Learning (CSML) and CITP associated faculty, published the paper, “Leakage and the Reproducibility Crisis in ML-based Science.”

Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website

Upcoming Events

CITP Distinguished Lecture Series: Jon Kleinberg – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Wed, Feb 15, 2023, 4:30 pm

Please register here to attend in person.
 

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Location
Friend Center Convocation Room

Speaker

CITP Distinguished Lecture Series: Thomas Ristenpart – Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging
Wed, Feb 22, 2023, 4:30 pm

Please register here to attend in person.

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Computer security is traditionally about the protection of technology, whereas trust and safety…

Location
Friend Center Convocation Room

Speaker

CITP Distinguished Lecture Series: Alessandro Acquisti
Wed, Mar 1, 2023, 4:30 pm

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Details: TBA

 

Bio:

Alessandro Acquisti is the Trustees Professor of Information Technology and Public Policy at the Heinz College, Carnegie Mellon University…

Location
Friend Center Convocation Room

Speaker

CITP Distinguished Lecture Series: Ed Felten – Scaling Arbitrum, from Lab to Product
Wed, Mar 8, 2023, 4:30 pm

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

The Arbitrum blockchain protocol started as a Princeton University research project, and has grown into a robust community hosting hundred of applications and over 600,000 monthly users. Along the way, the system has…

Location
105 Computer Science

Speaker