Tanatswa Manyakara ’26, Milton Vento ’26, and Lee Mabhena ’25 won the northeast regional competition and placed 3rd out of 72 undergraduate finalist teams in the national competition of the 2nd annual Data 4 Good Case Competition at Purdue University. The competition asked… Continue reading »
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 »
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 »
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 »
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 »
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 »
Friday, October 27 2:35pm in Wege Computer Science Colloquium: Pre-registration Info Session Learn about Computer Science courses offered Spring 2024 Talk to professors about their classes Meet other Computer Science students CS colloquium credit for attendance!… Continue reading »
Computer Science Colloquium Friday, Oct 20 2:35pm in Wege Enjoy short presentations by your fellow Computer Science students about summer research experiences. Continue reading »
This is a great opportunity to teach other students and to work closely with faculty – it can be a very rewarding experience. Application can be found at: https://csci.williams.edu/tatutor-application/ Due Friday, October 27, 2023. Email Lauren with questions – [email protected]. Continue reading »
Friday, Oct 06 (Oct 13 is Mountain Day backup) 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… Continue reading »
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