Algorithms and Complexity Seminars

Learning and Incentives in Human–AI Collaboration
Wednesday, September 24, 2025 - 4:00pm to 5:00pm

As AI systems become more capable, a central challenge is designing them to work effectively with humans.

Distribution Learning with Advice
Friday, September 19, 2025 - 2:00pm to 3:00pm
We revisit the problem of distribution learning within the framework of learning-augmented algorithms.
Metric Embeddings with Outliers
Wednesday, September 17, 2025 - 2:00pm to 3:00pm
Catalytic Computing: A Primer
Wednesday, May 14, 2025 - 3:00pm to 4:00pm

Can memory be useful even when it's already full? In the catalytic computing model (Buhrman et al.

Understanding the Trade-Offs Between Hallucinations and Mode Collapse in Language Generation
Thursday, May 1, 2025 - 4:00pm to 5:00pm
Specifying all desirable properties of a language model is challenging, but certain requirements seem essential.
How to Appease a Voter Majority
Wednesday, April 30, 2025 - 4:00pm to 5:00pm

In 1785, Condorcet established a frustrating property of elections and majority rule: it is possible that, no matter which candidate you pick as the winner, a majority of voters will prefer someone else.

Revisiting the Predictability of Social Events
Wednesday, April 23, 2025 - 4:00pm to 5:00pm

Social predictions do not passively describe the future; they actively shape it. They inform actions and change individual expectations in ways that influence the likelihood of the predicted outcome. Given these dynamics, to what extent can social events be predicted?

DDPM Score Matching and Distribution Learning
Wednesday, April 16, 2025 - 4:00pm to 5:00pm

Score estimation is the backbone of score-based generative models (SGMs), especially denoising diffusion probabilistic models (DDPMs).

Learning from Missing and Imperfect Data
Wednesday, April 9, 2025 - 4:00pm to 5:00pm

Positive-Unlabeled Learning (PU Learning) is a framework for learning when only positive and unlabeled data are available, which is a common scenario in Bioinformatics, Medicine, and Fraud Detection, where obtaining negative samples is challenging or costly.

Constructive Criticisms of Complexity: Unifying Proofs and Algorithms
Wednesday, March 19, 2025 - 4:00pm to 5:00pm
For decades, fundamental questions in complexity theory have remained wide open.

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