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CIS Seminar: “Foundations of Cryptographic Proof Systems”

This talk will be on zoom as well: https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554
Passcode: 488035

CIS Seminar: “Learned Query Optimization”

This talk will be on zoom as well: https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554
Passcode: 488035

CIS Seminar: “Sublinear Algorithms for Massive Datasets”

This talk will be on zoom as well: https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554
Passcode: 488035

CIS Seminar: “Trustworthy Machine Learning Systems via PAC Uncertainty Quantification”

This talk will be on zoom as well: https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554
Passcode: 488035

CIS Seminar: “Social Reinforcement Learning”

this talk will also be on zoom: https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554
Passcode: 488035

Joseph Bordogna Forum: “Engineering for Everyone: Centering Diversity, Equity, and Inclusion”

Please join us for this distinguished lecture given by Dr. Gilda Barabino, President of Olin College of Engineering. “Engineering for Everyone: Centering Diversity, Equity, and Inclusion” At its core, engineering […]

CIS Seminar: “Tackling climate change with machine learning”

Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk, we will explore opportunities and challenges in […]

CIS Seminar: “From Seeing to Doing: Understanding and Interacting with the Real World”

Visual intelligence is a cornerstone of intelligence, for both humans and machines. In this talk, I go over a number of research work by our group on the topics of […]

CIS Seminar: “Sketching Algorithms”

Abstract: A “sketch” is a data structure supporting some pre-specified set of queries and updates to a database while consuming space substantially (often exponentially) less than the information theoretic minimum […]

CIS Seminar:”David V.S. Goliath: the Art of Leaderboarding in the Era of Extreme-Scale Neural Models”

Scale appears to be the winning recipe in today’s leaderboards. And yet, extreme-scale neural models are still brittle to make errors that are often nonsensical and even counterintuitive. In this talk, I will argue for […]

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