Colloquium 12/01 – Prof. Shikha Singh

Friday, December 01 2:35pm in Wege Auditorium Leveraging ML Predictions for Beyond-Worst-Case Algorithm Design Traditionally, we measure the performance of algorithms in the worst-case model.   That is, the algorithms are designed to perform well against an adversarial input sequence.  While the worst-case paradigm provides extremely strong guarantees, it can… Continue reading »

Colloquium 11/17 – Rachee Singh, Cornell University

Rachee Singh Computer Science Colloquium Friday, November 17 2:35pm in Wege Photonic Collective Communication for Distributed Machine Learning Distributed ML training and inference requires intermediate model parameters on accelerators to be accumulated, reduced and transferred over the network between accelerators using collective communication primitives. This talk… Continue reading »

Computer Science Class of ’60s Colloquium

David Jensen David Jensen, UMass Amherst Friday, November 10 2:35pm in Wege (TCL 123) “Explanation, Causation, and Mechanism in AI systems” Recent work in artificial intelligence has emphasized the need for explanation, transparency, accountability, and other properties that allow potential users to better understand how these systems process information. Continue reading »

Computer Science Class of ’60s Public Talk

David Jensen, UMass Amherst Thursday, November 09 Public Talk @ 7:30pm Bronfman Auditorium (Wachenheim B11) ***CS Colloquium credit for attendance. Reception to follow*** What’s So Important About Explanation? Science, Machine Learning, and Large Language Models Large language models (LLMs), and systems derived from these models such as ChatGPT and… Continue reading »

Colloquium 10/31: Mike Baiocchi ’03 and Jordan Rodu ’05

Mike Baiocchi ’03 Jordan Rodu ’05 Special Computer Science Colloquium: Tuesday, October 31st @ 7:00pm in Wege   Colloquium credit for attendance and Spooky Snacks provided!  Outcome Reasoning: the under-discussed engine powering black box algorithms We’ll start this talk discussing a couple of studies: (i) a randomized trial… Continue reading »