CIS Seminar: “Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines”

Scalable and efficient machine learning (ML) systems have been instrumental in fueling recent advancements in ML capabilities. However, further scaling these systems requires more than simply increasing the number and […]

IDEAS/STAT Optimization Seminar

ASSET Seminar: “Controlling Language Models”

Abstract: Controlling language models is key to unlocking their full potential and making them useful for downstream tasks. Successfully deploying these models often requires both task-specific customization and rigorous auditing […]

ASSET Seminar: “Beyond Scaling: Frontiers of Retrieval-Augmented Language Models”

Abstract: Large Language Models (LMs) have demonstrated remarkable capabilities by scaling up training data and model sizes. However, they continue to face critical challenges, including hallucinations and outdated knowledge, which […]

ASSET Seminar: “Demystifying the Inner Workings of Language Models”

Abstract: Large language models (LLMs) power a rapidly-growing and increasingly impactful suite of AI technologies. However, due to their scale and complexity, we lack a fundamental scientific understanding of much […]

ASSET Seminar: “Steering Machine Learning Ecosystems of Interacting Agents”

Abstract:  Modern machine learning models—such as LLMs and recommender systems—interact with humans, companies, and other models in a broader ecosystem. However, these multi-agent interactions often induce unintended ecosystem-level outcomes such […]

CIS Seminar: “Decentralized Mechanism Design: Cryptography Meets Game Theory”

In classical auction design, we take it for granted that the auctioneer is trusted and always implements the auction’s rules honestly. This assumption, however, no longer holds in modern auctions […]

CIS Seminar: “Generative Language Models for Biotherapeutics Design”

ASSET Seminar: “From Data to Insights: Trustworthy Solutions for Imaging Problems”

Abstract:  Extracting insights from imaging data used to be straightforward: every component of imaging systems was engineered by humans, the analysis and interpretation of the collected data was driven by […]

ASSET Seminar: “Poison and Cure: Non-Convex Optimization Techniques for Private Synthetic Data and Reconstruction Attacks”

Abstract: I will survey recent results describing the application of modern non-convex optimization methods to the problems of reconstruction attacks on private datasets (the “poison”), and the algorithmic generation of […]