Upcoming Events

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Machine Learning + Humanities Working Group

Wed, Feb 23, 2022, 12:30 pm

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

Machine Learning + Humanities Working Group

Wed, Mar 23, 2022, 12:30 pm

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

Machine Learning + Humanities Working Group

Wed, Apr 20, 2022, 12:30 pm

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

CSML Poster Session Event

Tue, May 3, 2022, 12:00 pm
The annual CSML Poster Session event will be held virtually. 

Princeton Research Day 2022

Thu, May 5, 2022 (All day)
Each year, our campus comes together at Princeton Research Day to celebrate the research and creative endeavors of early-career researchers and scholars.

Events Archive

Machine Learning + Humanities Working Group

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

Introduction to Blockchain and Decentralized Finance

This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem...

Speaker(s):

Data Visualization in Python

This Wintersession course provides an introduction to effective data visualization in Python. Several plotting packages will be discussed, including Matplotlib, Seaborn, and Plotly. Examples may include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The session may also touch on more advanced interactive plots.
Speaker(s):

Introduction to NumPy

This Wintersession course covers the basics of NumPy, the package that underlies most scientific computing done in Python. It will explain the NumPy array, the principal data type in the NumPy package, and how it differs from similar Python structures like lists.

Speaker(s):

Introduction to Blockchain and Decentralized Finance

This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem...

Speaker(s):

What is Machine Learning and Can it Help Advance My Research?

This Wintersession workshop aims to increase awareness of how machine learning could aid faculty, postdoc, and student research. No detailed prior knowledge of machine learning is assumed.
Speaker(s):

Learning by Random Features: Sharp Asymptotics and Universality Laws

Many new random matrix ensembles arise in learning and modern signal processing. As shown in recent studies, the spectral properties of these matrices help answer crucial questions regarding the training and generalization performance of neural networks, and the fundamental limits of high-dimensional signal recovery. As a result, there has been...
Speaker(s):

Bayesian Risk Optimization (BRO): A New Approach to Data-driven Stochastic Optimization

A large class of stochastic optimization problems involves optimizing an expectation taken with respect to an underlying distribution that is unknown in practice. One popular approach to addressing the distributional uncertainty, known as the distributionally robust optimization (DRO), is to hedge against the worst case among an ambiguity set of...
Location: Virtual Seminar
Speaker(s):

MCMC vs. Variational Inference -- for Credible Learning and Decision-Making at Scale

I will introduce some recent progress towards understanding the scalability of Markov chain Monte Carlo (MCMC) methods and their comparative advantage with respect to variational inference. I will discuss an optimization perspective on the infinite dimensional probability space, where MCMC leverages stochastic sample paths while variational...
Location: Zoom
Speaker(s):

Optimal No-Regret Learning in Repeated First-Price Auctions

First-price auctions have very recently swept the online advertising industry, replacing second-price auctions as the predominant auction mechanism on many platforms for display ads bidding. This shift has brought forth important challenges for a bidder: how should one bid in a first-price auction, where unlike in second-price auctions, it is no...
Speaker(s):

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