Theory Seminar
Teaching Seminar: Elijah Rivera, An Introduction to Hashmaps
Adapted lecture from the course “Program Design with Data Structures and Algorithms" at Brown University.
Theory Seminar: Mingda Qiao (MIT), The Truthfulness of Calibration Measures
Mingda Qiao (MIT) will be giving a talk on the Truthfulness of Calibration Measures at the theory seminar.
Theory Seminar: Kate Donahue
Kate Donahue (MIT) is visiting UMass on Thursday, Oct. 24 to give a talk on "Analyzing Federated Learning via a Game Theoretic Lens" at the Theory Seminar.
What is Public Interest Technology? Opportunities, Challenges, and Insights for Graduate Students
CICS graduate Colette Basiliere will give a presentation introducing Public Interest Technology and the challenges and opportunities facing this new field.
PhD Seminar: Yen-Chieh Lien, Data Generation for Weakly Supervised Neural Retrieval
The dissertation focuses on employing a neural generative approach for data generation in weak supervision settings, incorporating effective techniques.
Teaching Seminar: Daniel Gonzalez Cedre, Férmat’s Little Idea
In this talk, we'll walk through a simple proof of Férmat's Little Theorem that exposes one of the basic connections between number theory and algebra.
Theory Seminar: Shivam Nadimpalli
Shivam Nadimpalli will be giving a talk virtually at the theory seminar this week.
Theory Seminar: Sampath Kannan (Simons Institute, Berkeley), Collusion in the Age of Algorithmic Agents
This talk will be self-contained and introduce the bits of game theory, online learning, and economics needed for understanding it.
Unlocking Success: FDA Regulatory Strategies for AgeTech Devices and AI
Join us to learn about the regulatory space for AgeTech devices and software, and to hear best practices for preparing a regulatory submission.
PhD Seminar: Yen-Chieh Lien, Data Generation for Weakly Supervised Neural Retrieval
The dissertation focuses on employing a neural generative approach for data generation in weak supervision settings, incorporating effective techniques.
NLP Seminar: Yizhong Wang, Building a Sustainable Data Foundation for AI
Wang will present his research on building language models that go beyond pretraining while improving their generalization through a data-centric perspective.
CS Theory Seminar: Jane Lange
Join Jane Lange, a fourth year PhD student at MIT visiting UMass Amherst, for a talk on Lifting Uniform Learners via Distributional Decomposition.