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ASSET Seminar: “Algorithmic Stability for Trustworthy Machine Learning and Statistics”

Abstract: Data-driven systems hold immense potential to positively impact society, but their reliability remains a challenge. Their outputs are often too brittle to changes in their training data, leaving them […]

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 However, they continue to face critical challenges, including hallucinations and outdated knowledge, which […]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 […]

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 […]

ASSET Seminar: “Efficient Sharing of AI Infrastructures with Specialized Serverless Computing”

Abstract: The efficient sharing of AI infrastructures is becoming increasingly important in both public and private data centers. This demand is driven by two key factors: the proliferation of specialized […]

ASSET Seminar: “Neurosymbolic Program Synthesis: Bridging Perception and Reasoning in Real-World Applications”

Abstract: Neurosymbolic Program Synthesis (NSP) integrates neural networks and symbolic reasoning to tackle complex tasks requiring both perception and logical reasoning. This talk provides an overview of the NSP framework […]

ASSET Seminar: Matt Frederickson (Carnegie Mellon University)

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