Title: (Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy
Abstract: Machine learning methods have become a commodity in the toolkits of both researchers and practitioners. For...
Title: (Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy
Abstract: Machine learning methods have become a commodity in the toolkits of both researchers and practitioners. For...
Title: Collaborative, Communal, & Continual Machine Learning
Abstract: Pre-trained models have become a cornerstone of machine learning thanks to the fact that they can provide improved performance with...
Fair registration for students will open on Wednesday, February 8th (two weeks prior to the first day of the fair). If you would like to receive an alert when registration opens, please favorite the fair and Handshake...
Join us for our workshop with CICS Careers, where you can fix up your resume and ask any career-related questions!
Matrices are ubiquitous mathematical structures arising throughout computer science. We study fast algorithms for several central problems involving matrices, including eigenvalue approximation, spectral approximation,...
Talk title: An Introduction to Binary Search Trees Using Recursion
Abstract: The core of this talk is a short model lecture introducing binary search trees. It is targeted at new computer science students who have...
Abstract: Over the past several decades, multiple statistical methods have been developed to infer the existence and magnitude of causal effects by analyzing observational data. These methods have been widely deployed in...
HackHer413 is the first all-women (cis and trans) and nonbinary student hackathon in Western Massachusetts. This hackathon is a 24-hour technology marathon where participants form teams to collaborate in creating unique...
Abstract: Graphs are ubiquitous data structures, present in many machine-learning tasks, such as link prediction, node classification, ontology alignment, etc. As gradient descent drives the training of most modern...
Title: Distance-Estimation in Modern Graphs: Algorithms and Impossibility
Abstract: The size and complexity of today's graphs present challenges that necessitate the discovery of new algorithms. One central...